Workshops Abstracts

Sunday, Aug 31, 2025 — Workshops Abstracts


Date — Sun, Aug 31, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — The workshop will provide an in-depth highlight into the state-of-the-art techniques and software for challenging classical simulations of quantum computations at both the digitalgate and analog-pulse levels. A particular emphasis will be given to the scalability of the underlying algorithms and their ability to leverage large-scale GPU-accelerated high-performance computing platforms to push the simulation boundaries to an extreme.
 
Abstract — This workshop will bring together participants from academia, national labs and industry to share recent results in advanced techniques, algorithms and software focused on scalable classical simulations of quantum computing processes at both the gate and pulse levels, which includes approaches based on the state vector, tensor network, graphical model, stabilizer state, and quantum master equation formalisms. As quantum computing hardware is steadily evolving towards the quantum advantage regime, classical simulation of quantum computations is becoming more and more challenging, yet crucial for the verification, validation and improved design of the new quantum hardware and algorithms. As such, in recent years we observed a fast progress in new advanced classical techniques which have enabled more efficient simulations of an increasingly large number of qubits/qudits. Importantly, these techniques and algorithms can take better advantage of modern classical high-performance computing platforms based on node architectures. We seek to provide an open platform for sharing the state-of-the-art development efforts, exchanging ideas and best practices, and fostering research discussion and collaboration between all interested parties to stimulate the formation of an inclusive research community focused on this important topic.
 
Keywords — Quantum simulations, GPU acceleration, High-performance computing, State vector, Tensor network, Stabilizer states
 
Target Audience — The workshop will be of interest to a broad research community from national labs, academia, and industry who deal with any aspects of quantum simulation and quantum algorithm development. The invited speakers will represent all mentioned quantum simulation research modalities in a balanced way. We expect workshop attendees with diverse backgrounds ranging from general computer science especially, scientific and high-performance computing, to quantum information science specialists.

Date — Sun, Aug 31, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — This workshop intends to bring together stakeholders in the intersection of quantum computing and chemistry. Through presentations that expose the current trends and challenges from the perspectives of industry, academia, and government agencies, participants will be better equipped and encouraged to engage in discussions on how the community can move the field forward.
 
Abstract — Quantum simulations have the potential to revolutionize the study of chemical systems, including biomolecules, catalysts, and specialized materials. However, current quantum computing falls far short of being able to meet industry-scale demands. To address this challenge, this workshop will build on the success of its first edition and will constitute an exciting opportunity to bring together experts from industry, government, and academia to explore new ideas and approaches that promote quantum utility/advantage for chemical systems. The primary goal of the workshop is to bring together researchers who represent the entire community in the chemical space to establish the current landscape, facilitate collaboration across different fields, and identify new pathways to quantum simulation that can enable large-scale, impactful applications. Specific examples of problems that can be solved using quantum simulation and new strategies to solve them will be discussed, while enabling attendees to share their efforts and perspectives on realizing quantum utility/advantage in chemical applications. This interdisciplinary workshop will provide a forum for researchers and practitioners to exchange ideas and help shape the future of quantum chemical simulations.
 
Keywords — Quantum chemistry, Quantum simulation, Quantum utility, Chemical applications, Materials science, Interdisciplinary collaboration
 
Target Audience — The topical audience for this workshop are quantum computing application developers, computational chemistry and materials science practitioners adopting quantum computing methods, and industry players whose use cases resonate with the focus of the workshop. We anticipate that this will include participants from academia, government, and industry with a strong overlap in sectors for materials, energy, transportation, and defense. The organizers will take notes during the discussion time and will invite the speakers to draft a summary of the main findings of the workshop, to be publicly released to document current challenges and opportunities in the area of quantum computing for chemistry.

Monday, Sep 1, 2025 — Workshops Abstracts


Date — Mon, Sep 1, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — The Workshop on Quantum in Consumer Technology is the fourth of its series at IEEE Quantum Week. Year after year, the Quantum Computing industry continues to develop toward a future in which it will play a major role in day-to-day consumer life. The Workshop on Quantum in Consumer Technology will discuss Quantum Technologies’ status, innovations, and future directions, with an interest in the interdisciplinary technologies, applications, manufacturing, and standards for consumer products, services, systems, and architectures.
 
Abstract — The Workshop on Quantum in Consumer Technology is the fourth of its series at IEEE Quantum Week. Year after year, the Quantum Computing industry continues to develop toward a future in which it will play a major role in day-to-day consumer life. The Workshop on Quantum in Consumer Technology will discuss Quantum Technologies’ status, innovations, and future directions, with an interest in the interdisciplinary technologies, applications, manufacturing, and standards for consumer products, services, systems, and architectures.
 
Keywords — Quantum computing, Consumer technology, Consumer electronics
 
Target Audience — Scientists, engineers, and researchers interested in the application of Quantum Computing to Consumer Technology. Industry members interested in networking and sharing experiences. Researchers interested in finding opportunities in the field of QC. Companies interested in broadening their field of interest to QC.

Date — Sun, Aug 31, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — The workshop will provide an in-depth highlight into the state-of-the-art techniques and software for challenging classical simulations of quantum computations at both the digitalgate and analog-pulse levels. A particular emphasis will be given to the scalability of the underlying algorithms and their ability to leverage large-scale GPU-accelerated high-performance computing platforms to push the simulation boundaries to an extreme.
 
Abstract — This workshop will bring together participants from academia, national labs and industry to share recent results in advanced techniques, algorithms and software focused on scalable classical simulations of quantum computing processes at both the gate and pulse levels, which includes approaches based on the state vector, tensor network, graphical model, stabilizer state, and quantum master equation formalisms. As quantum computing hardware is steadily evolving towards the quantum advantage regime, classical simulation of quantum computations is becoming more and more challenging, yet crucial for the verification, validation and improved design of the new quantum hardware and algorithms. As such, in recent years we observed a fast progress in new advanced classical techniques which have enabled more efficient simulations of an increasingly large number of qubits/qudits. Importantly, these techniques and algorithms can take better advantage of modern classical high-performance computing platforms based on node architectures. We seek to provide an open platform for sharing the state-of-the-art development efforts, exchanging ideas and best practices, and fostering research discussion and collaboration between all interested parties to stimulate the formation of an inclusive research community focused on this important topic.
 
Keywords — Quantum simulations, GPU acceleration, High-performance computing, State vector, Tensor network, Stabilizer states
 
Target Audience — The workshop will be of interest to a broad research community from national labs, academia, and industry who deal with any aspects of quantum simulation and quantum algorithm development. The invited speakers will represent all mentioned quantum simulation research modalities in a balanced way. We expect workshop attendees with diverse backgrounds ranging from general computer science especially, scientific and high-performance computing, to quantum information science specialists.

Date — Mon, Sep 1, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — Natural Sciences Workshop
 
Summary — This full-day workshop will offer all attendees an opportunity to present, discuss and learn about recent research results, open questions and challenges in the field of quantum computing applications for natural sciences. Participants will be able to meet quantum computing researchers and domain experts from both academia and industry ranging from fundamental physics, quantum chemistry, materials to life sciences, thus getting a comprehensive and inspiring overview of such a broad and interdisciplinary environment.
 
Abstract — Following the success of last two years workshops, we are delighted to announce the third edition of ”Quantum Computing for Natural Sciences: Technology and Applications,” a follow-up event aimed at further exploring the transformative potential of quantum computing in the natural sciences. The quest for novel and more powerful information processing methods – capable of tackling some of the hardest computational problems in the natural sciences – lies at the heart of the quantum computing revolution. As the technology progresses, what was originally only conceived in theory comes closer to becoming reality. The potential applications of quantum computing in the natural sciences are vast and varied, ranging from simulating complex chemical reactions and materials to modelling biological systems and developing new drug treatments. This full-day workshop on quantum computing for natural sciences is aimed at providing participants with a comprehensive overview of the latest advancements in quantum information processing methods and their potential applications in fundamental physics, chemistry, materials and life sciences. Upon feedback from attendees of the first edition, we retained the workshop structure by dividing it into three sections, each devoted to a specific area, where experts in the respective fields will share their knowledge and provide talks on the current state-of-the-art and ongoing research efforts. The workshop aims also remain unvaried: to equip participants with a deeper understanding of the potential of quantum computing to revolutionize the natural sciences, highlighting the implications of this technology for future research and development efforts.
 
Keywords — Quantum Computing, Quantum Simulators, Natural Sciences, Quantum Chemistry, Fundamental Physics, Materials Science, Biology, Drug Discovery
 
Target Audience — The workshop has proven to attract a balanced audience made of quantum computing experts, with both academic and industry backgrounds, and domain experts in the natural sciences, with a key focus on computational approaches. The workshop would be most beneficial for those who are interested in presenting, learning about and discussing the latest advancements in quantum computing and its applications in the natural sciences: this includes, but is not limited to, researchers, scientists, software engineers and practitioners, as well as students and early-career researchers looking to expand their knowledge in this area. The workshop could also be relevant to professionals from industry, government, and non-profit organisations who are interested in getting a cutting edge overview of the state-of-the-art and potential impact of quantum computing in the natural sciences.

Date — Mon, Sep 1, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Website — WIHPQC25 Workshop & Call for Workshop Papers
Workshop Paper Submissions — Submissions through EasyChair

 Summary — In this workshop, we aim to bring together practitioners, theoreticians, and users from HPC, QC, and the application disciplines to understand the needs, requirements and solutions for hybrid HPCQC systems.
 

Abstract — Quantum computers promise a substantial increase in computational capabilities compared to classic computer architectures for a range of suitable problems. They, therefore, have the ability to make significant contributions to the field of High-Performance Computing (HPC). On the other hand, quantum computing alone cannot achieve this goal as it requires current and future HPC systems to provide post- and pre-processing, to stage and control operations, to enable hybrid applications combining computational elements suited for quantum computing with such that are not, and to provide computing capabilities to optimize quantum computing systems. Consequently, we need a close integration between quantum computing and the current HPC ecosystems to form a new integrated HPCQC approach capable of bringing the combined computational abilities to a broad user base.

In this workshop, we aim to bring together practitioners, theoreticians, and users from HPC, QC, and the application disciplines to understand the needs and requirements from both sides for such integration, report on and discuss innovative approaches and build a long-term bridge between the involved communities. We will achieve this with a broad program anchored by selected invited talks covering current challenges and possible solutions, a contributed section with research results by the community, and, finally, an open panel discussion allowing for community feedback and interaction.

 
Keywords — Quantum Computing, Hybrid Quantum-Classical Architectures, High-Performance Computing, HPCQC Integration, Quantum Software Engineering
 
Target Audience — As the main audience, we target developers and users of software for quantum computing. However, we also aim at end-users/domain experts (who, eventually, will have to rely on this software to realize their applications) and physicists/experimentalists (who will have to run their devices via this software stack). Indeed, we strongly believe that more exchange among these groups is essential and urgently needed, especially in the development of the needed software intended to connect the different communities.

Date — Mon, Sep 1, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — In this workshop, participants will have an opportunity to learn about the importance of quantum resource estimation (QRE) and challenges associated with performing the estimates. The workshop will provide a platform to share research on QRE and related topics, get accustomed with a variety of tools and have discussions about the practicality of quantum computing.
 
Abstract — Quantum Resource Estimation (QRE) is an essential aspect of quantum information processing and quantum technologies. It refers to the process of quantifying the resources (time, qubits, magic states, etc.) required for performing a given quantum computation or task. It is essential to have an accurate understanding of resource requirements to analyze the tradeoffs between the benefit/utility of performing quantum computations versus their cost. Costs can have wide-ranging impacts on investment decisions made by corporations, academia, research institutes, and governments. Building useful QRE tools and performing high-quality QRE research relies on strong connections among researchers with expertise in various subdomains of quantum computing. For example, algorithm developers benefit from realistic hardware assumptions rather than idealized models to direct their optimization; and hardware architecture design can be directed by requirements from algorithms analyzed to be most promising. This year we want to focus on the methodology of obtaining QREs based on specific applications.
 
Keywords — Quantum Resource Estimation, Fault-Tolerance, Quantum Applications, Quantum Algorithms
 
Target Audience — This workshop targets researchers and experts in the fields of quantum algorithms and applications. We hope to include a mix of people working on these topics, to enable a discussion of issues at the borders between these domains. Given interest in this topic from academia, industry and governments, we want to have representation across all sectors. Given the range of topics resource estimation crosses, we do not expect all participants to have the same background. However, in order to ensure participants to be able to really contribute, we expect them to be knowledgeable in at least one of the domains listed above.

Date — Mon, Sep 1, 2025 Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6 Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — QUACO Workshop
 
Summary — This workshop consists of talks and panel discussions which highlight recent advancements in developing, analyzing, and applying quantum algorithms to problems in combinatorial optimization.
 
Abstract — Over the past decade, interest in leveraging quantum algorithms for combinatorial optimization (CO) has surged, driven by developments in both gate-based and annealing-based methods. Farhi et al.’s seminal 2014 work on the Quantum Approximate Optimization Algorithm (QAOA) helped catalyze research on variational approaches, while quantum annealing has continued to advance as a powerful heuristic for optimization problems. This workshop features a diverse set of talks and panel discussions highlighting recent progress across these complementary paradigms. The workshop is divided into three sessions: Applications, Foundations, and Advanced Algorithms. In the Applications session, speakers will present real-world cases where quantum algorithms have the potential to address CO problems across diverse domains. In the Foundations session, speakers will delve into the mathematical and theoretical aspects underlying quantum algorithms for CO. These foundational aspects provide insights into the potential usefulness and effectiveness of such quantum algorithms across various problems for both current and future quantum devices. Lastly, in the Advanced Algorithms session, speakers will discuss innovative adaptations and enhancements of existing quantum algorithms and the effect of such modifications in regards to runtime, solution quality, etc. Towards the end of each session, a panel discussion will take place with the speakers to discuss the current state of affairs and what the future holds for quantum’s applicability towards CO. Attendees are encouraged to ask questions and participate in this discussion.
 
Keywords — Quantum Algorithms, Combinatorial Optimization, QAOA, Quantum Annealing, Quantum Applications
 
Target Audience — This workshop is targeted towards scientists, researchers, and engineers that have an interest in solving combinatorial optimization problems using quantum algorithms. Those with backgrounds in various fields (e.g., physics, optimization, computer science) and affiliations (academia, national labs, industry) are encouraged to attend. Attendees are expected to have some familiarity with combinatorial optimization and quantum algorithms such as QAOA, VQE, and Quantum Annealing.

Date — Mon, Sep 1, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Website — Q-Sec & Call for Workshop Papers
Workshop Paper Submissions — Submissions through EasyChair

 
Summary — This workshop will provide attendees with insights into emerging security, privacy, and resilience challenges in quantum computing, along with strategies for mitigating threats in quantum systems. Participants will gain knowledge essential for securing quantum infrastructure and ensuring privacy in quantum communications.
 
Abstract — Quantum computing holds immense potential to revolutionize fields ranging from cryptography to artificial intelligence. However, as the field advances, concerns regarding security, privacy, and resilience become increasingly critical. This workshop will bring together researchers, industry professionals, and policymakers to explore emerging threats, mitigation strategies, and future directions in quantum security. Key topics will include privacy-preserving quantum computations, quantum-safe cryptographic techniques, threat modeling for quantum hardware, quantum AI security, and resilience strategies against quantum-based adversarial attacks. The workshop will feature a keynote talk, an academia-industry panel, and technical paper presentation sessions to foster collaboration and knowledge sharing. Attendees will leave with a comprehensive understanding of current challenges, ongoing research efforts, and actionable strategies for ensuring the security and resilience of quantum systems. This workshop aims to shape a long-term research agenda that bridges the gap between quantum computing and cybersecurity, ensuring a secure quantum future.
 
Keywords — Quantum Security, Privacy-Preserving Computations, Quantum-Safe Cryptography, Resilience, Adversarial Attacks
 
Target Audience — The workshop has a wide range of target audiences, including: researchers in quantum computing, cybersecurity, and cryptography; industry professionals working on quantum hardware and software security; undergraduate and graduate students, and postdoctoral researchers exploring quantum resilience; government and defense agencies interested in quantum security; and policymakers interested in developing quantum-safe security frameworks.

Date — Mon, Sep 1, 2025 Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6 Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours) 
 
Workshop Website — QML-LFDR-2025 & Call for Workshop Papers
Workshop Paper Submissions — Submissions through EasyChair 
 
Summary — This workshop brings together researchers and industry practitioners from diverse disciplines to explore the current state, practical applications, and interdisciplinary challenges of quantum machine learning (QML), including hardware-software co-design and hybrid quantum-classical systems.
 
Abstract — Quantum computing (QC) has made significant progress in recent years, and scientists are exploring its applications across various fields, including quantum machine learning (QML). The proposed third iteration of the workshop continues to evolve a successful format, and aims at bringing together researchers and industry practitioners from different disciplines to discuss challenges and applications of QML. Many machine learning techniques have quantum analogues that propose significant advantages over classical approaches. For instance, quantum support vector machines have been shown to achieve exponential speedups over classical approaches, while quantum classifiers can derive hard-to-estimate kernels. Topological data analysis, principal component analysis, and relational learning on knowledge graphs further augment the list of quantum-accelerated machine learning (ML) tasks. Generative techniques based on suitably combining classical circuit design with quantum sampling have received substantial interest recently, particularly as they promise concrete advantages already in the early post-NISQ stages. However, the advantages of these techniques need careful consideration of subtle issues not present in classical approaches. Concrete practical applications of QML are still unknown. The proposed workshop fosters an interdisciplinary dialogue between experts from various fields, including AI, ML, software/systems engineering, physics, and more. The workshop will also incorporate industrial users to identify application potentials and explore co-design ideas that enable special-purpose, hybrid quantum-classical appliances to be designed for problems of topical importance. By bringing together researchers and practitioners, the workshop advances the state of the art in QML and identifies practical applications of the technology.
 
Keywords — Quantum Machine Learning, Hybrid Quantum-Classical Systems, Quantum Algorithms, Machine Learning Applications, Quantum Computing
 
Target Audience — The target audience for our workshop is everyone with an interest in learning about possibilities and challenges for quantum computing in machine learning. We will make efforts to attract contributions and participants from both industry and academia. We explicitly encourage submissions on the boundaries between software and hardware, and on co-design efforts between physical implementation and problem domains, to bring together experience from computer science, engineering, and physics.

Date — Mon, Sep 1, 2025 Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6 Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — QNSIM2025
 
Summary — In this workshop, attendees will learn about the current landscape of quantum network simulation techniques used both for academic research and educational purposes. This workshop will also allow researchers to exchange state-of-the-art results on quantum network simulation and discuss future directions for the community.
 
Abstract — Quantum networks are long envisioned as the key infrastructure for future information transmission. They are expected to enable information-theoretically secure communication, distributed quantum computing, distributed quantum sensing, and many more distributed quantum information processing applications. Currently, many efforts from academia, national laboratories, and industry around the globe are moving towards building real quantum networks. The experimental implementation of quantum networks involves large-scale and multidisciplinary efforts, however the layered structure of quantum network functionality has not yet reached consensus. As a result, quantum network implementations cannot be conducted without careful and extensive evaluation and validation. Analogous to their classical counterparts, quantum networks – which will eventually scale in multiple dimensions – demand simulation tools to guide implementation decisions and analyze protocol performance. Several quantum network simulators have thus been developed in recent years, while quantum network researchers continue to implement ad hoc simulations for specific research questions. For this emerging research field, it is important to foster a collaborative community that will further advance quantum network simulation to be more realistic, more accurate, more scalable, and more helpful. This proposed workshop thus aims at creating a forum for demonstrating the latest progress of quantum network simulation, identifying near-term research and development objectives, expanding the community, and forming new collaborations.
Keywords — Quantum Network Simulation, Quantum Networking, Distributed Quantum Computing, Quantum Communication, Quantum Protocols
 
Target Audience — We expect a diverse composition of attendees for this workshop: developers of quantum network simulators, computer scientists and theoretical physicists using simulation for protocol design and evaluation, experimental physicists using simulation for experiment plan validation, educators using simulators in the classroom, and students from all levels who are interested in the topic of quantum networking in general. We expect the audience to come mainly from academia and national laboratories, while we also encourage participation of industry attendees as we are aware of commercial efforts for developing quantum network simulators.

Tuesday, Sep 2, 2025 — Workshops Abstracts


Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop WebsiteQuantum Software 2.1 Workshop
 
Summary — Attendees will learn about the limits of today’s dominant quantum software architectures, understand some of the software problems and novel ideas on the path to supporting large-scale quantum computing efficiently, and hear from guest speakers who are currently exploring potential solutions.
 
Abstract — The current quantum software stack, while foundational,faces critical scaling challenges that threaten to bottleneck the future of quantum computing. Developed alongside the first generation of online quantum hardware platforms, these software stacks are defined by a common set of quantum software architectures and ideas: Python-based libraries, small loosely-structured programs, shared but restrictive program representations (OpenQASM ), online queues, wasteful execution models (e.g., unnecessary repetition, clientserver latency), and a computational separation between classical and quantum instructions. A number of these components will not scale, bottlenecking the performance of quantum computing overall. To overcome these limitations and unlock the potential of large-scale quantum computing, a paradigm shift is needed: the development of Quantum Software 2.1.
Anticipating such limitations, a number of organizations have already been looking towards the next generation of ideas. We can expect a more complex and multi-faceted tech stack: deeper, wider, and more complex circuits, first versions of quantum error correction, just-in-time compilation, multilevel IRs, heterogeneous execution models, co-location, and making better use of existing classical software tools.
In this workshop, we highlight a number of software barriers that will have to be overcome to unlock this next stage of development. We will hear from guest speakers, panellists, and attendees who have begun experimenting, prototyping, and releasing early versions of next-generation quantum software technologies. We hope to identify and form consensus on the most promising approaches to pursue in the future to enable scaling for effective and robust heterogeneous infrastructure development, as well as foster interest in developing these technologies collectively under open models for the benefit of the quantum industry as a whole.
 
Keywords — Quantum Software, Quantum Compilation, Heterogeneous Computing, Quantum Programming, Error Correction
 
Target Audience — We expect the workshop will be of interest to people working in industry (quantum software developers, quantum software architects, and senior leaders at software-focused companies), the quantum open-source software community, and researchers working in the field of quantum software (e.g., quantum compilation researchers). We expect that people working in industry will make up the largest demographic.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Attendees will gain insight into how quantum computers are used in practice across different disciplines.
 
Abstract — As quantum computers rapidly improve, so does the likelihood of unlocking advancement across scientific fields. To facilitate this progress, the Quantum Technical Working Groups have spent the past three years considering exactly how quantum computing will impact five key areas of interest: Healthcare & Life Sciences, High Energy Physics, Materials Science, Optimization, and Sustainability. Experts from quantum and classical computing, as well as subject matter experts, will discuss their latest works stemming from these ongoing collaborations. With perspectives from academia, national labs, and industry, topics may cover benchmarking, integration with high performance computing, quantum algorithms, and specific use cases, such as clinical trial design, power grid optimization, and fermionic wave packet scattering. As these groups have produced several perspective papers and performed algorithm research on real quantum hardware, this workshop presents an opportunity to study how different scientific fields approach open challenges related to quantum integration and solutions. This is the first time that representatives from all five groups come together to discuss the reality of integrating quantum computing into their respective fields. The program aims to promote knowledge sharing and identify common themes across research domains in order to support strengthened collaborations across sectors, with a particular focus on best next steps given the expected quantum computing upgrades coming in the next few years.
 
Keywords — Quantum computing, Quantum applications, Quantum algorithms & information, Quantum machine learning, Quantum chemistry, Healthcare & life sciences, High energy physics, Materials science, Optimization, Sustainability, High performance computing
 
Target Audience — Establishing and promoting diverse research collaborations is central to the mission of all five Working Groups; thus, diverse attendance is crucial. The expected audience will be incredibly varied with respect to seniority, field of study, industry, and geography. Start-ups, national labs, companies, and universities have all contributed to the work presented. Working Group members are spread around the globe with leading contributors in Canada, Finland, Spain, Japan, Korea, and more, with many members already expressing great interest in joining the IEEE International Conference on Quantum Computing and Engineering 2025 in anticipation of this interdisciplinary workshop. In the spirit of supporting attendance from members of all career stages, the Working Groups will encourage its student members to apply for the conference’s student volunteer program to financially support their attendance and provide day-of logistical assistance for the workshop. This will ensure the discussions have representation that spans industries, areas of expertise, geographies, and career stages.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website Workshop Agenda — Draft
Workshop WebsiteCall for Workshop Papers
Workshop Paper SubmissionsSubmissions through EasyChair
 
Summary — This workshop explores the intersection of quantum computing and energy innovation, focusing on fostering dialogue among academia, industry, and government to identify collaborative research opportunities and computational challenges in the energy sector addressable by quantum technology.
 
Abstract — Quantum computing is poised to begin solving important, practical problems with real-world consequences. As the quantum industry prepares for a transition toward practical applications, a parallel transformation is occurring in the energy sector, where establishing a reliable and resilient energy system is crucial. Our global reliance on a robust and secure energy infrastructure is crucial, particularly as electricity demand is expected to increase significantly in the years ahead. In this workshop, we aim to merge these two technological trends and create a platform for dialogue and collaboration among academia, industry, and government stakeholders who share common interests. The workshop will cover a range of topics, including quantum computing devices from annealers and Noisy Intermediate-Scale Quantum (NISQ) devices to fault-tolerant quantum computers and future digital quantum computers. Additionally, we will explore key computational challenges in energy innovation, such as chemistry simulation and forecasting, the growth of distributed generation, and the scheduling and dispatch of resources. Our objective is to pinpoint the most promising areas for collaboration and determine the types of research necessary to advance the intersection of energy innovation and quantum computing. This sixth workshop will build on the dialogue initiated at IEEE Quantum Week 2020, focusing on the role of quantum computing in energy innovation.
 
Keywords — Quantum Computing, Energy Innovation, Distributed Generation, Scheduling, Chemistry Simulation
 
Target Audience — Our target audience comprises a diverse group of researchers and leaders from both the quantum computing and energy sectors. The aim is to sustain and deepen the dialogue between these two emerging fields, building on the momentum established by the previous five workshops. In the realm of quantum computing, we aim to engage researchers specializing in near-term applications, including optimization, adiabatic quantum computing, and NISQ devices. On the energy side, we are particularly interested in attracting experts with a focus on grid planning, operations, simulations, and chemical engineering. Anticipating that the workshop will primarily draw attendees from the quantum computing community, we will make a concerted effort to recruit energy experts to ensure a balanced and comprehensive discussion.

Given the emphasis on practical quantum computation, we expect significant interest from industry players within the quantum computing sector. Crafting a business case for the application of quantum computing in the rapidly expanding energy innovation field is likely to captivate this audience. However, due to the numerous unresolved questions surrounding the potential for quantum speed-ups in optimization and other near-term applications, we will also place a high value on academic contributions and insights into the current state of quantum computing research.

Our previous four workshops brought together several companies and academic groups that have either conducted limited research on this intersection or are interested in doing so. We hope that participants in the previous workshops will be excited to come back, with the potential to deepen their own connections.


Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Attendees will gain insights into the latest quantum computing frameworks with a focus on AI-driven advancements, explore the perspectives of leading hardware vendors on scalable quantum architectures, and learn about cutting-edge approaches to HPC-quantum integration for hybrid computing. The workshop will provide a comprehensive view of the software, hardware, and system-level innovations shaping the future of quantum accelerated supercomputing.
 

Abstract — This workshop will bring together experts from academia, national labs, and industry to explore the critical components of building scalable quantum supercomputers. The workshop will be structured around three key themes: (1) quantum frameworks with a focus on AI-driven advancements, (2) perspectives from leading hardware vendors on scalable architectures, and (3) high-performance computing (HPC)-quantum integration for hybrid computing.

The first session will explore the recent advances in quantum software frameworks, emphasizing AI-powered approaches for solving technical problems with scaling quantum accelerated supercomputers. For example, we will cover the development of software frameworks for quantum supercomputing, adaptive circuit knitting, and distributed quantum computing.

The second session will feature hardware vendors providing insights into the latest quantum processor developments, qubit technologies, and control hardware innovations that support large-scale quantum computing. Industry leaders will share their perspectives on overcoming key hardware challenges and the roadmap for scalable quantum architectures and, more importantly, their perspective on HPC-quantum integration.

The third session will focus on HPC-quantum integration given by experts from large supercomputing centers giving their perspective on strategies for integration of quantum accelerators with classical supercomputing infrastructure. Topics will include efficient workload distribution, real-time quantum error correction, and co-design approaches for seamless hybrid quantum-classical execution.

By the end of the workshop, attendees will gain a deep and comprehensive understanding of the latest advancements in quantum HPC integration and the future outlook. The unique proposition of the workshop is that it will provide three distinctive perspectives on this subject, from quantum software infrastructure developers, quantum hardware vendors, and HPC centers integrating quantum devices and HPC.

 
Keywords — Quantum computing, AI frameworks, HPC integration, Quantum hardware, Hybrid computing
 

Target Audience — The workshop will be of interest to a broad research community from national labs, academia, and industry working at the intersection of quantum computing, artificial intelligence, high-performance computing (HPC), and quantum hardware development. It is particularly relevant for researchers and engineers focused on AI-driven quantum frameworks, scalable quantum hardware architectures, and the integration of quantum accelerators within HPC environments.

The invited speakers will represent expertise across these domains, ensuring a balanced discussion of theoretical advancements, practical implementations, and industry perspectives. We expect attendees with diverse backgrounds, including but not limited to quantum information science, AI for quantum computing, scientific computing, classical HPC, and system architecture design. The workshop will also be valuable for developers of quantum programming frameworks, compiler optimization strategies, and quantum networking protocols, as well as industry professionals working on hybrid quantum-classical computing solutions.


Date — Tue, Sep 2, 2025 Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6 Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — Q-SET-2025
Conference Paper Submission — Submissions through EasyChair
 
Summary — Discussion forum on the latest advances in quantum software engineering and how to produce quantum software following good practices and a systematic software engineering approach.
 
Abstract — As quantum computing evolves, Quantum Software Engineering (QSE) becomes a relevant topic for both researchers and practitioners. IEEE defines Software Engineering as the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software, as well as to the study of these approaches. Thus, the Quantum Software Engineering community is gaining presence in all the relevant quantum computing research forums as a way to produce quantum software in a systematic and controlled way with adequate quality levels. This will ensure that quantum software progresses along with the latest advances in quantum computing. This event will serve as a discussion forum on how to produce quantum software considering lessons learned from the classical software engineering field as well as novel approaches. This implies applying or adapting the existing software engineering processes, methods, techniques, and principles for the development of quantum software, or even, more importantly, creating new methods and techniques that will help create quantum software with the appropriate quality attributes.
Keywords — Quantum Software Engineering, Quantum Programming, Software Development, Quality Assurance, Quantum Tools
 
Target Audience — The target audience includes both researchers and industry practitioners who have contributed innovative and significant advances or experiences in Quantum Software Engineering and Technology, as well as those interested in learning about this field. First, this workshop might attract attendees coming from the quantum computing and engineering fields who want to learn about how to develop quantum software. Second, this workshop will attract attendees coming from the traditional software engineering field who want to learn about quantum computing technology and programming.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — TBA
 
Summary — This workshop will gather diverse stakeholders in quantum software to define abstractions and modelling frameworks that support structured development, aligning user needs and hardware constraints using insights from structured group discussions inspired by model-driven architecture.
 

Abstract — Considerable amounts of effort have been spent (and still need to be spent) on defining and refining software abstraction layers and software toolchains for quantum computing. Although there has been substantial progress in engineering increasingly reliable hardware systems, widely applicable algorithms remain relatively scarce. An important yet unsolved challenge is to identify models that further enhance the practical utility of QPUs.

Models are simplified representations that allow us to explain behaviour, predict properties, and understand complex systems or phenomena. They highlight essential aspects while omitting unnecessary details. The complex interplay between hardware limitations and software intricacies makes finding useful models a challenging goal.

In this workshop (whose original ideas were triggered from discussions on the topic on a 2024 Dagstuhl seminar on quantum software engineering), we intend to systematically elicit knowledge from a wide array of relevant stakeholders to obtain a common terminology and understanding of all aspects related to this challenge. Building upon the principles of model-driven architecture (MDA), invited experts and other interested parties joining the workshop will discuss how to structure quantum software development into distinct layers that align high-level requirements with hardware-specific constraints. We will centre these discussions around a three-tiered abstraction approach, which we see as practical method to manage complexity and to support a gradual evolution of quantum systems in line with hardware advances.

Furthermore, a stakeholder analysis will gather information about how different user groups—ranging from quantum researchers and algorithm developers to business application engineers—are driven by distinct requirements. The eventual goal of the workshop is to distil knowledge (and opinions) offered by the participants into a paper that can guide future research into all software aspects of quantum computing, with a focus on finding good and useful means of abstractions, expressible models, and systematic construction of algorithms.

 
Keywords — Quantum Software, Stakeholder Analysis, Software Abstractions, Model-Driven Architecture, Quantum Programming
 
Target Audience — The target audience for our workshop is everyone with an interest in learning about possibilities and challenges for quantum software. We will make efforts to attract contributions and participants from both, industry and academia, and explicitly (even particularly) encourage participation by non-quantum experts who still want to benefit from the computational promises and abilities of current and future quantum machines.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — In this workshop, attendees will gain hands-on experience and deep insights into advanced quantum error correction techniques, from theoretical developments to practical implementations on current quantum hardware. Participants will learn how to optimize error correction strategies for scalable, fault-tolerant quantum systems, ensuring their effective deployment in real-world quantum technologies.
 

Abstract — In recent years, quantum technologies have seen remarkable progress, paving the way for the development and demonstration of the first noisy intermediate-scale quantum processors. While these early quantum devices mark a significant milestone, they remain highly susceptible to noise and decoherence, limiting their computational potential. As the field advances toward large-scale, fault-tolerant quantum computing, protecting quantum computations from these errors becomes increasingly critical. In this context, quantum error correction (QEC) has become pivotal for the development of reliable and scalable quantum systems, progressing rapidly towards practical implementation in quantum hardware.

This workshop is designed as an interactive forum for researchers from both academia and industry who seek to advance their understanding of QEC and its real-world applications in building fault-tolerant quantum systems. It will explore key topics such as: (1) quantum noise models and experimental realizations of QEC, providing insights into the challenges and solutions for implementing error correction in current quantum hardware; (2) recent advancements in QEC code construction, with a focus on designs tailored to specific hardware and noise models; (3) advanced decoding techniques aimed at enhancing the efficiency and scalability of error correction methods; and (4) efficient computation with error-corrected logical qubits, addressing the practical challenges of implementing QEC to ensure reliable quantum computation. By combining theoretical insights with practical applications across critical aspects and challenges of the QEC stack, this workshop will equip attendees with the knowledge necessary to advance scalable and robust quantum systems.

 
Keywords — Quantum Error Correction, Fault-Tolerant Computing, Quantum LDPC Codes, Noise Models, Decoding Algorithms
 
Target Audience — The workshop is intended for researchers and professionals from academia and industry who are actively engaged in QEC and fault-tolerant quantum computing. It also targets students and early-career researchers interested in QEC, as well as researchers with expertise in classical error correction who are eager to contribute to the QEC field. We expect workshop attendees from diverse backgrounds and motivations, including researchers developing new QEC codes and decoding algorithms, those working on quantum noise modeling or designing fault-tolerant protocols and architectures for scalable quantum computation, and experimentalists implementing QEC on current and emerging quantum hardware platforms. The invited speakers will provide a balanced representation of all these research areas.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop WebsiteQCRL-2025 & Call for Workshop Papers
Workshop Paper SubmissionsSubmissions through EasyChair
 
Summary— The objective of the Quantum Computing and Reinforcement Learning (QCRL) workshop is to convene scholars and practitioners from the realms of quantum computing and reinforcement learning. The workshop aims to facilitate the dissemination, exchange, and discourse concerning cutting-edge advancements and prospective directions in quantum reinforcement learning algorithms, as well as the application of reinforcement learning methodologies toward addressing challenges inherent in quantum computing.
 
Abstract — The integration of quantum computing (QC) and reinforcement learning (RL) stands at the forefront of scientific exploration, promising transformative advancements with far-reaching implications across numerous domains. This workshop brings together experts from diverse fields—including computer science, artificial intelligence/machine learning (AI/ML), and quantum information science—to explore the rich intersection of QC and RL. Recent breakthroughs in both quantum technologies and AI/ML have highlighted the potential for synergistic collaboration, with RL demonstrating remarkable success in sequential decision-making tasks and QC introducing novel computational paradigms. Our workshop aims to provide a comprehensive overview of the current state-of-the-art in quantum reinforcement learning, as well as explore how classical RL techniques can be leveraged to address challenges in quantum computing. By fostering interdisciplinary dialogue and facilitating knowledge exchange, we aim to identify immediate research opportunities and promote collaboration among researchers and practitioners from both academia and industry. Looking ahead, our long-term vision is to cultivate lasting partnerships that accelerate innovation at the convergence of QC and RL. Through these collaborations, we aim to drive the development of quantum-enhanced decision-making algorithms and unlock new frontiers in quantum computing applications. We invite you to join us in this endeavor to harness the combined potential of QC and RL for the advancement of science, technology, and society.
 
Keywords — Quantum computing, Machine learning, Quantum reinforcement learning, Reinforcement learning, Artificial intelligence, Variational quantum algorithms
 
Target Audience — This workshop is intended for individuals with a foundational understanding of quantum computing or machine learning, as well as those eager to apply quantum reinforcement learning within their respective fields. It is well-suited for graduate students, postdoctoral researchers, faculty members, and industry practitioners and scientists alike.

Date — Tue, Sep 2, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — In this workshop, attendees will learn about the engineering challenges that need to be addressed to realize the practical deployment of quantum networks. This workshop will provide a platform for stimulating discussions on various aspects of quantum network engineering, fostering new collaborations and innovative research ideas.
 
Abstract — Quantum networks are envisioned to achieve novel capabilities that are provably impossible using classical networks and could be transformative to science, economy, and national security. These novel capabilities range from cryptography, sensing and metrology, distributed systems, to secure quantum computing in the Cloud. To realize these great potentials, quantum networks are being actively researched and developed worldwide across different physical platforms (e.g., superconducting circuits, nitrogen vacancy centers in diamond, neutral atoms, and trapped ions). Several building blocks for quantum networking have been developed and demonstrated in a variety of experiments. For example, integrating ion traps with optical cavities provides the potential of on-demand and coherent light-matter interfaces for quantum networking. High-fidelity quantum frequency conversion converts photons from infrared light frequencies to optimal telecom wavelengths for long-distance quantum networking. This research is typically Physics-based, thereby they aim to address scientific challenges faced in quantum networks. However, to realize the practical deployment of quantum networks, many critical engineering challenges need to be addressed. For example, as the size and complexity of quantum networks increase, it is evident that manual control of quantum networks will be insufficient. The issues of quantum network abstraction, scaling of network architecture and protocols, and software automation are becoming increasingly important. This workshop seeks to convene a multidisciplinary community of public, private, and research stakeholders to present and refine quantum network engineering challenges. The workshop will consist of three sessions in the format of invited talks and panel discussions. The invited speakers and the audience will discuss the presented statements, past experiences, and new ideas in the subject area. This workshop provides a platform for exchange of ideas, sharing of problem solving skills, and opportunities for standardization in the community.
 
Keywords — Quantum Network Architectures, Quantum Network Protocols, Interoperability, Quantum Control, Co-Design, Quantum Testbeds
 
Target Audience — We expect a diverse composition of attendees for this workshop: developers of quantum network testbeds, researchers designing and evaluating novel quantum networking protocols, and students from all levels as well as industry practitioners who are interested in the topic of quantum networking in general. We expect the audience to come mainly from academia and national laboratories, while we also encourage participation of industry attendees as we are aware of commercial efforts for developing quantum networks. We also encourage participation from governmental sections who handle standards and technology governance.

Wednesday, Sep 3, 2025 — Workshops Abstracts


Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — This workshop will bring together entrepreneurs, investors, and researchers to explore the opportunities and challenges of quantum computing entrepreneurship, with interactive roundtables and a keynote on the state of the industry, supported by IEEE Entrepreneurship.
 
Abstract — The Workshop on Quantum Computing Entrepreneurship is the sixth of its series and has been held annually at IEEE Quantum Week. This year we will host the first ever Quantum Venture Summit with the support of IEEE Entrepreneurship. Quantum Computing (QC) is experiencing a turning point. It has been a theoretical promise since the beginning of the 1990s. A lot of research effort has been invested, especially in two areas. First, on the mathematics, logic, and algorithms area. Second, quantum physicists and materials experts have been working on implementing such a machine. Now, there are a few quantum computers available online through different providers. The industry is very optimistic about increasing computing power at a sustained rate during the following years. So, the promise of real software applications solving daily problems is close to coming. That is why the field is now attractive to software companies and startups. There are many public activities, either academic, commercial, or governmental, concerning QC, and the field is gaining much interest and investment. The workshop will bring together entrepreneurs, investors, researchers, and participants in the entrepreneurship ecosystem.
 
Keywords — Quantum Computing, Entrepreneurship, Intrapreneurship, Venture Capitals, Technological Investment
 
Target Audience — Entrepreneurs seeking funding, networking opportunities, and experience-sharing. Investors interested in identifying promising opportunities in the quantum computing sector. Companies aiming to expand their focus and engage with the quantum computing industry.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Abstract — As quantum computers rapidly improve, so does the likelihood of unlocking advancement across scientific fields. To facilitate this progress, the Quantum Technical Working Groups have spent the past three years considering exactly how quantum computing will impact five key areas of interest: Healthcare & Life Sciences, High Energy Physics, Materials Science, Optimization, and Sustainability. Experts from quantum and classical computing, as well as subject matter experts, will discuss their latest works stemming from these ongoing collaborations. With perspectives from academia, national labs, and industry, topics may cover benchmarking, integration with high performance computing, quantum algorithms, and specific use cases, such as clinical trial design, power grid optimization, and fermionic wave packet scattering. As these groups have produced several perspective papers and performed algorithm research on real quantum hardware, this workshop presents an opportunity to study how different scientific fields approach open challenges related to quantum integration and solutions. This is the first time that representatives from all five groups come together to discuss the reality of integrating quantum computing into their respective fields. The program aims to promote knowledge sharing and identify common themes across research domains in order to support strengthened collaborations across sectors, with a particular focus on best next steps given the expected quantum computing upgrades coming in the next few years.
 
Keywords — Quantum computing, Quantum applications, Quantum algorithms & information, Quantum machine learning, Quantum chemistry, Healthcare & life sciences, High energy physics, Materials science, Optimization, Sustainability, High performance computing
 
Target Audience — Establishing and promoting diverse research collaborations is central to the mission of all five Working Groups; thus, diverse attendance is crucial. The expected audience will be incredibly varied with respect to seniority, field of study, industry, and geography. Start-ups, national labs, companies, and universities have all contributed to the work presented. Working Group members are spread around the globe with leading contributors in Canada, Finland, Spain, Japan, Korea, and more, with many members already expressing great interest in joining the IEEE International Conference on Quantum Computing and Engineering 2025 in anticipation of this interdisciplinary workshop. In the spirit of supporting attendance from members of all career stages, the Working Groups will encourage its student members to apply for the conference’s student volunteer program to financially support their attendance and provide day-of logistical assistance for the workshop. This will ensure the discussions have representation that spans industries, areas of expertise, geographies, and career stages.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Explore the opportunities of open architecture—from enhanced flexibility and vendor independence to faster innovation cycles—while also directly addressing the integration and standardization challenges involved. This workshop provides a practical framework for successfully implementing open architecture solutions, minimizing risks, and maximizing return on investment.
 

Abstract — This workshop explores the critical shift from monolithic, full-stack quantum computing development to a modular, open architecture approach. While full-stack offers close integration, it demands extensive, diverse in-house expertise, escalating costs, and sacrificing flexibility through hardcoded design choices. Conversely, an open architecture empowers specialization, fostering cost-effectiveness, scalability and supply chain resiliency.

We will delve into how the quantum computing stack—from QPUs and control electronics to software layers—can be strategically broken down into disciplines, allowing companies to leverage their core competencies in specific components. This specialization accelerates development and enables the creation of tailored quantum systems optimized for diverse applications. The workshop will address a key benefit of the open architecture paradigm: significant risk mitigation. Dependence on a single vendor’s full-stack solution creates vulnerability and market capture; an open approach diversifies the technology pipeline, protecting against the impact of any single company’s agenda and allowing access to customers for start-ups.

Crucially, we will examine the vital role of well-defined interfaces, rigorous component validation, and the pursuit of industry standards as well as the importance of system integrators in ensuring seamless interoperability between diverse components sourced from multiple vendors. Attendees will gain a practical framework for navigating the challenges and maximizing the transformative opportunities of open architecture in the rapidly evolving field of quantum computing, leading to faster innovation cycles and a stronger return on investment.

 
Keywords — Open architecture, Modular quantum computing, Standardization, System integration, Quantum supply chain, Component interoperability
 
Target Audience — This workshop is aimed at all those interested in the construction of quantum computers as well as their users. We aspire to attract participants that have the abilities to innovate specific elements of the quantum computation stack. This is relevant for both innovations coming from industry and research, showing that it is not necessary to be a full-stack supplier in order to participate in the quantum ecosystem. On the other hand, we aim to also attract users of quantum computation systems that have experience operating quantum computers, or looking to procure one, to discuss and understand requirements from the user perspective on the suppliers of components in the open architecture system. This means that this workshop is relevant for those that have a classical background, experienced in component construction and interface definition, as well as researchers in the quantum computation sciences. Thereby, this workshop targets both experts from academia and industry, as the construction of quantum computers is becoming commonplace in the R&D roadmaps in both sectors.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Website — Q-CORE Workshop & Call for Workshop Papers
Workshop Paper Submissions — Submissions through EasyChair

Summary — This workshop highlights the critical need for dependable, reproducible integration of quantum and classical systems within HPC environments. It brings together academic, industry, and government stakeholders to identify collaborative strategies for advancing system-level dependability in hybrid quantum-classical infrastructures.
 
Abstract — The first exploitation scenario for emerging quantum devices will be the domain of scientific computing. To this end, quantum devices need to be integrated into classical High-Performance Computing (HPC) infrastructures that operate under specific conditions and adhere to a set of criteria, which presents novel challenges. One of the primary requirements is the dependability of systems, which refers to their ability to operate reliably and securely under various conditions, while also ensuring reproducible outcomes. This workshop will highlight how the heterogeneous quantum community is called to address known and unknown present and future issues in the dependable quantum-HPC (QHPC) domain. Industry, academia and national laboratories alike are required to coordinate on this joint effort across domains such as QC technology, cloud computing, HPC, and network security. The overarching goal of this workshop is to establish a common ground and a common language for all the different players involved, reducing impedance mismatches and fostering a more rapid and cohesive co-design development of QHPC infrastructures. This workshop builds upon the First Workshop on Dependability Challenges in Hybrid Classical-Quantum Computing Systems that took place at QCE24 and sparked increasing interest in the community. The proposed workshop is a continuation of the Quantum System Stability and Reproducibility Workshop (StableQ), which was held at QCE23 and MICRO24. This Q-CORE workshop will foster the participation of funding agencies as main stakeholders involved in driving the development of useful quantum-classical computing systems.
 
Keywords — Hybrid Classical-Quantum Systems, HPC, Quantum Computing, Dependability, Reliability, Resiliency, Security, Reproducibility
 
Target Audience — The target audience comprises individuals with expertise in classical dependability, fault-tolerant design, classical and quantum compilation, quantum computing technology manufacturing, quantum error mitigation, suppression, and correction, quantum control and readout, large-scale system-level monitoring and orchestration, HPC and quantum algorithm benchmarking, and hardware development. Such figures could be affiliated with a wide range of institutions, from academia to research centers to private companies in both the quantum and classical domains.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Website — TCS4Q Workshop & Call for Workshop Papers
Workshop Paper Submissions — Submissions through EasyChair

 Summary — The existing solutions for the control of quantum computers are expensive, divergent, and rapidly evolving. This

workshop not only provides a forum for various stakeholders to synchronize, but also allows for networking to promote
future collaborations and convergence.
 
Abstract — Experimental quantum information science (QIS) has progressed in recent years from small, isolated, proof-of-principle devices to a proliferation of many-qubit processors, based on a range of architectures, operating on platforms in academia, industry, and National Labs. As quantum processors continue to scale up in terms of the number of qubits, novel qubit implementations and processor architectures are also being investigated, each with its own control requirements. As such, classical control electronics systems have been expanding to meet the rapidly evolving needs of experimental QIS. Traditional manufacturers have introduced new products targeted at multi-qubit systems, new startups have joined the fray, and National Lab groups have developed and open-sourced FPGA-based hardware, firmware, and gateware. As all providers of control systems continue to improve the reliability and robustness of their solutions, theorists continue to propose experiments with heavier demands on control, ranging from active reset and fast feedback to mid-circuit measurement, feed-forward, and decision logic. Furthermore, directions undertaken by academia and industry can sometimes seem to be along orthogonal dimensions: one requires diverse control parameters for novel qubits at a small scale. At the same time, the other focuses on one implementation but scales up to systems that are larger by orders of magnitude. Following the well-attended past iterations of this workshop in 2022, 2023, and 2024, we aim to continue bringing together developers and users of control systems to provide a venue for discussing the field’s evolving needs, identifying pathways for meaningful convergence among different directions, and highlighting and outlining the outstanding challenges.
 
Keywords — Quantum Control, Classical Electronics, FPGA, Feedback, Quantum Hardware Integration, Experimental QIS, Control Systems Engineering
 
Target Audience — This workshop is targeted at engineers and experimental scientists from academia, industry, and National Labs, who develop or use control systems to run experiments on quantum processors. We seek audience members with classical backgrounds whose expertise is beneficial to the research and development of quantum control systems.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — This workshop explores encoding methods, error correction strategies, and the latest advances in photonic quantum computing. It aims to unify the quantum photonics, error correction, and computing communities to identify challenges and collaborative opportunities for future research.
 
Abstract — Photonic quantum computing (PQC) is emerging as a transformative technology with the potential to revolutionize utility-scale quantum computing, particularly in addressing critical national security challenges. Recent advancements in photonic quantum architectures position PQC as a leading contender in the field. However, pivotal scientific questions remain, particularly regarding the optimal methods for encoding quantum information or qubits in photons. This workshop will delve into various encoding strategies, including polarization, spatial-mode, time-bin, and frequency encodings, explore strategies for fault tolerance and error correction, and discuss recent breakthroughs and challenges in quantum photonic devices. Participants will engage in discussions about the advantages of leveraging multiple photonic quantum degrees of freedom and explore the implications of these advancements for the future of quantum computing.
 
Keywords — Photonic Quantum Computing, Quantum Photonics, Encoding Strategies, Fault Tolerance, Quantum Devices
 
Target Audience — We anticipate a mix of participants from industry, academia and national laboratories to participate in the workshop. We expect participation from between 40 and 80 people in this workshop.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Distributed fault-tolerant quantum computing, involving quantum networks of multiple distributed fault-tolerant QPUs with quantum interconnects, is considered a major technological milestone towards achieving fault tolerance at utility scale. This workshop aims to build a forum for researchers, entrepreneurs, and government representatives to address the associated technological challenges, opportunities, and prospects, and foster fruitful collaborations across academia and industry towards achieving this milestone.
 
Abstract — This workshop is dedicated to addressing challenges and opportunities in developing technologies for distributed fault-tolerant quantum computing (FTQC) architectures. Achieving fault tolerance at utility scale will require millions of physical qubits. The large overheads associated with quantum error correction (QEC) and FTQC protocols pose tremendous engineering challenges, necessitating architectures beyond monolithic designs. Promising approaches rely on modular architectures, requiring a tight interplay between various modules, and are envisioned to involve quantum networks of multiple distributed quantum processing units (QPU) with quantum interconnects. Technologies for quantum interconnects for distributed FTQC settings are still in their infancy. Moreover, assembling large FTQC programs among multiple distributed QPUs involves solving a complex embedding problem. The entangling operations between QPUs may have different physical performance and duration than those within each QPU, which creates complications for the compilation of quantum programs. This workshop aims to bring together theorists and experimentalists to discuss these challenges for various quantum networking technologies based on superconducting qubits, neutral atoms, ions, and photons. It will cover a range of trending topics, including novel approaches to the generation of magic resource states and their consumption, and recent investigations of a variety of QEC codes for distributed FTQC settings, including topological surface and colour codes, quantum low-density parity-check codes, and Floquet codes. A major focus will be on realizing distributed FTQC architectures experimentally. This workshop will feature presentations on a selection of promising schemes, including multi-QPU lattice surgery and entanglement-assisted quantum networking via distribution and distillation of Bell pairs.
 
Keywords — Distributed quantum computing, Distributed quantum error correction, Distributed fault-tolerant quantum computing, Quantum networking of multiple distributed QPUs, Quantum interconnects between distributed QPUs, Entanglement-assisted quantum networking, Multi-QPU lattice surgery, Distributed quantum compilation
 
Target Audience — The target audience will consist of researchers and associates from academia, industry, and government agencies interested in scaling quantum computing technologies to utility scale. While this workshop is targeted primarily at experts in building quantum devices and quantum architectures, those IEEE conference attendees with a vested interest in utility-scale quantum computing will seek to attend this workshop to learn about the latest developments and to benefit from the ability to network in this exciting field of research. We expect attendees to have working knowledge of quantum computing in general, with a focus on either experimental or theoretical aspects relevant to FTQC. While this workshop aims to be an interdisciplinary introduction to various topics, we hope to connect experts in the various fields, thus pushing the limits of current expertise. However, non-experts will be very likely to follow most discussions. Potential audience invitees may also include guests such as business investors and government representatives who are interested in near- and long-term prospects for the field of quantum computing.

Date — Wed, Sep 3, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — Qunnect Workshop
 
Summary — Explore emerging applications of entanglement-based quantum networks in order to develop actionable stakeholder collaboration plans and drive increased industry adoption of quantum networking hardware and accelerating practical deployments.
 
Abstract — Quantum networks leveraging entanglement are essential for extending quantum communication beyond just Quantum Key Distribution. However, entanglement’s inherently fragile nature poses significant challenges for deploying these networks within telecom infrastructure with reliability comparable to classical systems. Recently, considerable efforts have accelerated the commercialization of quantum networks, particularly at metropolitan-scale distances that don’t yet require quantum repeaters. With commercialization advancing, novel applications beyond QKD have started emerging. In this workshop, invited experts from academia, national laboratories, and industry will present their latest achievements, highlighting both the practical deployment challenges of entanglement-based networks and innovative applications enabled by these. The workshop will be structured into three segments: First, showcasing exemplary deployed quantum networks and their performance metrics; second, discussing near-term applications such as quantum position verification, secure time synchronization, and quantum alarm augmentation; and finally, exploring future-oriented use-cases, including distributed quantum computing, quantum sensing, and quantum repeaters.
 
Keywords — Quantum networks, entanglement distribution, Quantum communication, quantum computing interconnects, testbeds, quantum internet, distributed quantum computing, quantum hardware roadmap
 
Target Audience — This workshop aims to attract a group of ranging between 20 to 100 participants, from different sectors of quantum technologies. Since entanglement distribution is merely a tool for use-cases in quantum computing, sensing, and communication, the target audience of this workshop will fall under all the three categories. Additionally, we are interested in improving the quantum ecosystem at the host state of New Mexico. Hence, as the organizers, we will invite local scientists from universities and national labs, decision makers from the state and federal agencies, and facilitators from groups such as elevate quantum. The organizers will closely work with the latter group to make sure that the New Mexico state directly benefits from the outcome of this workshop.

Thursday, Sep 4, 2025 — Workshops Abstracts


Date — Thurs, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6<
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)

 
Summary — This workshop will bring together standards activity chairs, researchers, and industry experts to address, and discuss with the attendees the current portfolio and the implications. We will also project future plans, international venues and procedures by which Quantum Standards will evolve.
 

Workshop  Structure — Each of the three 1.5 hour segments of the workshop will consist of a mixture of presentations, panels and audience engagement. Each segment is designed to concentrate on one technical topic.

10:00 to 11:30 Segment 1: Introductions and Foundations

  • Standards project topics
  • Active SDOs and engagement models
  • Terminology, Metrics, Sensing

1:00 pm to 2:30 Segment 2: Quantum Communications and Networking

  • Standards project topics
  • Networking prototype examples, QKD

3:00 pm to 4:30 Segment 3: Quantum Computing

  • Standards project topics
  • Hardware and algorithm benchmarking, Error correction, hybrid computing
 

An extensive list of references and additional reading information will be provided.

 
Abstract — It is essential that attendees are aware of standards activities underway in the fields of Quantum Sciences and are provided with practical information to allow them to assess the potential impact on their own activities and on how to monitor or participate in these standards projects.
 

The intent of the workshop is to provide descriptive intent and status information about current and planned Quantum Standards activities. The information provided will assist individuals in determining the potential impact on their research, development, commercialization or policy plans. It will help in plans to track or participate in the project to beneficially influence the content of the standard. The Quantum standards portfolio has evolved over the past year with the introduction of new standards projects, new project proposals and new standards committees.

 

Discuss Existing Efforts: Review ongoing initiatives related to quantum standards, their SDO identity, project leadership, membership, contact information, publication plans and expected impact.

 

Planned efforts: There are a number of additional standards projects that are planned but are not yet authorized to begin. This section will provide preliminary information on project plans and contact information prior to initiation.

 

SDOs: There are several SDOs (Standards Development Organizations) involved in Quantum standards. Each SDO has a unique structure and guidelines for engagement. A comparative summary for all will be provided.

 

Attendee Input: Discuss additional quantum information sciences standards, both hardware and software that would most benefit the Quantum ecosystem.

 
Keywords — Quantum Standards, SDO, IEEE, ETSI, QED-C, IEC, ISO, JET3, Benchmark
 
Target Audience — This workshop aims to prepare its participants to effectively understand and interact with the current and future quantum technology standards portfolio. Technical foci, standards developing organizations (SDOs), and standardization drivers will be discussed. There will also be an in-depth examination of the early standards topics of terminology and quantities.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 

Summary — In our workshop ”Quantum Algorithms for Bio and Life Sciences”, attendees will gain a comprehensive understanding of cutting-edge quantum computing techniques tailored explicitly for solving complex problems in biotechnology, pharmaceuticals, and related disciplines. Participants will learn about the state-of-the-art quantum algorithms developed to accelerate drug discovery, optimize biological simulations, and address computational challenges in human health sciences.

 

Abstract — As quantum computing continues to evolve at a rapid pace, its pivotal role in bioinformatics and the life sciences grows more evident. Building on the resounding success of its inaugural session last year, this workshop returns to explore the latest breakthroughs and the future promise of quantum computing in addressing complex challenges across biotechnology, pharmaceuticals, healthcare, and related sectors. This event will bring together leading researchers from industry and academia to present recent innovations and engage in comprehensive discussions. The aim is to enhance collaboration and pinpoint strategic approaches for employing quantum computing to address real-world issues in these critical domains.

 
Keywords — Quantum computing, quantum algorithms,  simulation, biotechnology, drug discovery, health, life sciences
 
Target Audience — The target audience comprises experts in quantum algorithms who are interested in applying them to computational biology, drug discovery, and other human health applications, as well as biochemists and other experts exploring quantum algorithms for their most computationally intensive problems. Most of the talks should be accessible to the general audience interested in prospects for the practical application of quantum algorithms to bio and life sciences. The workshop will be structured to cater to participants with different levels of expertise in quantum computing and should be of interest to early-career researchers and students curious about the applications of quantum computing in the bio and life sciences.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Attendees of this workshop will learn about the development and adaptation of quantum algorithms specifically for financial applications, exploring both provable speedup techniques and heuristic approaches, while engaging with industry and academic researchers to discuss quantum solutions for real-world financial challenges.
 
Abstract — Sustained, long-term progress in quantum computing is impossible without quantum algorithms that provide meaningful advantage over classical state-of-the-art on commercially important problems. New algorithms have to be designed and existing ones adapted to start a virtuous cycle of value generated by applications driving quantum computing development and unlocking more value. Financial industry is one of the most promising application domains. This workshop will focus on algorithmic building blocks for leveraging quantum computers for financial applications, including both techniques with provable speedups as well as heuristical approaches. The workshop will bring together the researchers from industry and academia to share recent results and discuss the pathways to leveraging these techniques to solve real problems in financial services.
 
Keywords — Quantum, Algorithms, Finance, Heuristics, Applications
 
Target Audience — The audience is expected to include experts in quantum algorithms interested in applying them to financial problems, as well as finance experts looking for quantum algorithms to solve their problems. Most of the talks should be accessible to the general audience interested in prospects for practical application of quantum algorithms to financial problems. Some background in quantum algorithms is assumed, though topics covered include a wide range of areas. The workshop should be of interest to early career researchers and students looking for promising research areas to tackle.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Website — QADA: Quantum Algorithm Design Automation Workshop
Workshop Paper Submissions — Submissions through EasyChair 

Summary — The 3rd QADA Workshop brings together researchers and developers to explore trends and tools for automating quantum algorithm design, programming, and compilation, featuring presentations and discussions across academic and industrial communities.
 
Abstract — As bigger quantum processors with hundreds of qubits become increasingly available, the potential for quantum computing to solve problems that are intractable for classical computers is becoming more tangible. However, designing efficient quantum algorithms is a key aspect in achieving the quantum advantage. Quantum algorithm design is challenging due to the unique nature of quantum computing. Traditionally, quantum programming has been done using quantum assembly language and qubit-level reasoning. However, as quantum computing continues to evolve, programming is going beyond these limits, requiring new tools and approaches to enable efficient algorithm design. The complexity of quantum algorithms is increasing, and the need for automation in quantum algorithm design, programming, and compilation is becoming more apparent. Quantum algorithm design requires an understanding of both the underlying quantum hardware and the problem that is being solved. Researchers are actively exploring existing and new approaches to algorithm design that can leverage the unique capabilities of quantum computing to solve problems more efficiently. Automating these processes can help accelerate the development of quantum algorithms, minimize errors, and enhance the efficiency of quantum computing. In this workshop, we will explore emerging trends toward the automation of quantum algorithm design, programming, and compilation.
 
Keywords — Quantum algorithms, Quantum programming, Quantum compilation, Evolutionary computation, Reinforcement learning, Variation optimization, Quantum architecture search, Geometric machine learning, Logic synthesis, Diagrammatic reasoning, Generative AI, Agentic AI
 

Target Audience — This workshop is aimed at academic groups and industrial stakeholders in two broad categories:

• Quantum application developers and quantum algorithm designers (i.e., those who use available quantum computing
systems for a defined problem).
• Developers of quantum programming tools (such as compilers, SDK, and code LLMs) (i.e., those who make quantum computing systems more accessible by providing useful abstractions for expressing algorithmic logic).

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — The workshop will critically evaluate the transformative potential of quantum computing in the pharmaceutical and chemical industries, focusing on quantum phase estimation for ground-state energy computations and other algorithmic advances to accelerate material discovery, optimize chemical reactions, and enhance drug design, while also fostering collaboration between academia and industry to advance quantum applications.
 

Abstract — The potential of quantum computing to transform the pharmaceutical and chemical industries is gaining widespread attention. This workshop aims to critically assess claims suggesting a future quantum advantage in these industries.

As a cornerstone of our discussion, we will explore the latest advances that exploit the quantum phase estimation (QPE) routine for ground-state energy computations. These advances pave the way for future accurate ground-state computations of strongly correlated systems beyond classical computers’ reach. We assess the potential of those computations for accelerating the discovery of new materials, optimizing chemical reactions, and enhancing drug design processes.

In addition, we will discuss the latest algorithmic advances beyond ground state energy calculations and the latest developments in hybrid and early fault-tolerant quantum-classical workflows, with the aim of better understanding the timeline toward first quantum advantages in industrial applications.

This workshop will foster collaborations among academic researchers and industry professionals to improve quantum algorithms for complex and high-impact applications. Through expert-led presentations and interactive discussions, attendees will gain a deep understanding of the current challenges and opportunities and the timeline for industrial applications of quantum computers. The workshop offers a platform for participants to exchange ideas, explore potential partnerships, and actively contribute to shaping the future of quantum computing in the industry.

 
Keywords — Quantum computing, Ground-state energy estimation, Quantum phase estimation, Hybrid quantum-classical workflows, Pharmaceutical industry, Chemical industry, Drug discovery, Material optimization
 
Target Audience — A diverse audience of researchers connected to quantum computing from academia and industry, including adjacent fields like computational chemistry. People wanting to venture from near-term algorithms to fault-tolerant algorithms and wanting to understand what the opportunities and challenges are in that field. Some broader appeal of the sessions to give perspective to a broader audience but focusing on detailed discussion and deep dives.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — Device-aware quantum software allows for precise hardware optimization. Attendees will learn about current state-of-the-art methods for integrating device models, noise models, and experimental feedback to create specialized software solutions at different layers of the quantum computing stack.
 
Abstract — There are many proposed hardware implementations for quantum computing. Each is marked by technical challenges and physical limitations. In order to optimize hardware performance, it is critical to consider both the abstract device model and its particular architecture, noise, and error characteristics. This workshop specifically focuses on the design of device-aware quantum software, and the benefits of specialization. It is divided into three focus areas across different layers of the quantum computing stack: control and calibration, noisy classical simulation, and device-aware error correction. 1) Quantum control can be used to synthesize unique hardware primitives and mitigate device-specific errors, but efficient calibration using feedback is critical for success. This focus area emphasizes device-aware machine learning strategies for quantum control and calibration. 2) Classical simulation of quantum devices is necessary for studying control, circuit validation, and architecture design. Whether simulating state vectors or logical circuits, this focus area discusses important advances in scalable, noise-aware versions of classical simulators. 3) Error rates of quantum hardware currently operate at a juncture where low-distance error correction is implementable. Pushing the frontier requires consideration of all device irregularities in the design of quantum error correcting codes and decoders. In this focus area, device-aware error correcting codes and decoders are discussed. In each focus area, four invited speakers will give research talks, then join together for a panel. By concentrating on the way developers of device-aware quantum software work together with hardware experts, this workshop provides opportunities for co-design and cross-layer optimization that can push forward the capabilities of today’s quantum hardware.
 
Keywords — Device-aware software, Noise models, Quantum optimal control, Quantum error correction, Noisy simulation
Target Audience — The workshop will be of interest to a wide audience. Researchers in physics, control engineering, applied mathematics, computer architecture, and more will be invited to speak. We expect a similar diversity amongst our attendees because the work being discussed exists at the interface between software and hardware. Participants will be encouraged to discuss specific details of their work, which is essential to device-aware software development. From these discussions, we expect that the abstractions and general lessons to be taken from this workshop will be broadly applicable to our community, spanning scientists at national labs, academics, industry professionals, and the open-source software community.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — TBA
 
Summary — This workshop brings together researchers in cryogenic electronics and quantum systems to explore innovations in cryo-CMOS and integration techniques enabling scalable quantum computers.
 
Abstract — Qubits for quantum processors mostly operate at few tens of mK. In order to operate millions of qubits required to solve useful problems effectively, one needs to construct a classical infrastructure to read, correct, and control them. A novel, scalable solution for this operation can be provided by integrated cryo-electronics operating at 20 mK, or, most likely, at higher temperatures, such as 3–4K. In particular, cryogenic CMOS (cryo-CMOS) circuits have been shown to operate at these temperatures and to be adequate in the task. As a consequence, intense research has been conducted on this topic in recent times, prompting the need for an international discussion on the topic.
 
Keywords — Deep cryogenic electronics, Cryo-electronics, Cryo-CMOS, Readout and control circuits, Qubits
 
Target Audience — The workshop aims to engage both established experts and emerging young researchers in engineering and physics disciplines, so as to provide a comprehensive overview on some of the most significant recent research results and on current, cutting-edge research trends in cryo-electronics to enable scaling of quantum systems. We will bring together scientists and engineers from the industry, academia, and national labs engaged in advancing quantum technologies.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — QAI Workshop

Workshop Paper SubmissionsEasyChair Workshop Paper Submissions

 
Summary — The Quantum AI Workshop will feature some of the most prominent researchers in QAI, who will deliver talks covering the theory, algorithms, applications, and software frameworks pertaining to QAI. This will be instrumental in providing directions for guiding the future of QAI research.
 
Abstract — Artificial Intelligence (AI) encompasses several tasks like visual perception, speech recognition, natural language understanding, and decision making. It has been a fundamental research thrust in computer science over the past century. In the current noisy intermediate-scale quantum (NISQ) era of quantum computing, there has been a proliferation of hybrid quantum-classical algorithms applied to AI and related tasks. This workshop aims to advance the state of quantum artificial intelligence (QAI) by highlighting recent research in the algorithms, applications, and software frameworks pertaining to QAI. We will solicit research papers from QAI experts from academia, industry, and government research institutions to deliver talks that drive the QAI research forward. In doing so, we hope to promote the exchange of QAI research ideas, build a collaborative platform for QAI research, and forge a community of QAI researchers. We successfully organized this workshop at the IEEE QCE 2020–2024.
 
Keywords — Quantum artificial intelligence, Quantum machine learning, Quantum computing, Artificial intelligence, Machine learning
 
Target Audience — The goal of this workshop is to foster discussions between domain scientists with large-scale applications and researchers who specialize in quantum computing. Through the proposed workshop, we aim to engage professionals in the following fields: quantum computing, quantum information, quantum engineering, artificial intelligence, and machine learning. We expect our attendees to have a background in computer science, physics, mathematics, electrical engineering or a related field. We believe that the audience of the proposed workshop will have a diverse set of backgrounds, and welcome all QAI researchers, practitioners and enthusiasts,h including but not limited to scientists, professors, educators, postdoctoral researchers, PhD students, graduate students, undergraduate students, engineers, developers, entrepreneurs, and newcomers. We hope to garner equal participation from academia, industry, and government research organizations in highlighting recent research in the fields of quantum artificial intelligence, quantum machine learning, and quantum algorithm design.

Date — Thu, Sep 4, 2025
Time — 10:00 – 16:30 Mountain
Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 

Workshop Paper SubmissionsEasyChair Workshop Paper Submissions

 
Summary — This workshop brings together researchers from academia, industry, and government to explore distributed quantum computing applications, system architectures, algorithms, and sandbox platforms, with a special emphasis on quantum chemistry and hybrid AI-quantum solutions.
 
Abstract — Distributed quantum computing (DQC) platforms are promising avenues for scalable and reliable quantum computing because they inherently address key limitations of current quantum technologies. They facilitate scalability by connecting multiple quantum processors and simulators in a modular fashion, allowing computational power to grow incrementally without facing the challenges of building large, monolithic quantum systems. This architecture also benefits from recent advancements in quantum error correction, quantum-protected and enhanced communication networks and quantum-entanglement distribution, which further improve the coherence, robustness, and performance of quantum computations across interconnected quantum and classical systems. DQC technologies have become practical and effective for building sandboxes or experimental platforms for scalable and reliable quantum case studies and applications. The first part of this workshop offers an overview of DQC avenues, applications, and recent technology advancements. One of the most promising DQC avenues is to explore opportunities of integrating classical generative AI and quantum computing capabilities (e.g., for drug discovery). The second part concentrates on DQC sandbox platforms for performing practical and specific case studies. The third part focuses on accurate nature simulation by distributing the computation across a network of interconnected quantum and classical compute nodes (e.g., simulating molecular structures and protein-ligand interactions). This interdisciplinary workshop will provide a forum for researchers and practitioners to exchange ideas, establish collaborations across disciplines and institutions, and shape the future of quantum computing.
 
Keywords — Distributed quantum computing, hybrid quantum-classical computing, synergy between quantum computing and generative AI, quantum networks, quantum computers, quantum simulators, quantum interconnects, network control, distributed entanglement, methods and algorithms to distribute quantum computations, parallelization, distributed quantum applications and case studies, applied quantum chemistry, molecular structure simulation, simulating nature, quantum utility.
 
Target Audience — We are targeting this workshop to researchers and developers interested in distributed quantum computing, hybrid quantum-classical computing, quantum networking, classically and quantumly integrating workflows, and molecular problem simulation.

Friday, Sep 5, 2025 — Workshops Abstracts


Date — Fri, Sep 5, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — This workshop brings together researchers from academia, industry, and government labs to identify and articulate key quantum computing research challenges from a computer science perspective, aiming to inform future program directions.
 
Abstract — After recent breakthroughs in quantum error correction, research on quantum computing is entering a new era. Now computer science is more important than ever to the success of quantum computing. We have more exciting algorithms and more qubit technologies than ever, and now we can suppress hardware errors to some degree. In this diverse field, computer science people can devise quantum algorithms and prove limits on what can be achieved, they can design and implement a software stack, and they can formally verify that algorithms and tools work correctly. This workshop will identify the main research challenges in quantum computing from the angle of computer science. The workshop will bring together researchers from academia, industry, and government research labs working in the area of quantum computing. The main deliverable of the workshop will be a report summarizing the discussions and recommendations made during the meeting. We will send the workshop report to people in government agencies across the world who are thinking about starting programs on quantum computing.
 
Keywords — Quantum computing, computer science, quantum algorithms, quantum software, quantum verification, research challenges
 
Target Audience — The workshop target audience are computer science researchers in quantum computing who have an interest in articulating the research challenges of the field. We hope that many of the participants will be professors from academia, and that other participants will be from industry, government research labs, and government agencies.

Date — Fri, Sep 5, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — This workshop explores how recent advancements in AI are driving quantum computing forward, with a focus on algorithm development, scalability, and real-world applications. Attendees will benefit from discussions led by experts at the forefront of AI-integrated quantum technologies.
 

Abstract — In recent years, quantum computing has advanced with the integration of AI-driven algorithms, enhancing training and scalability. These models address key challenges like barren plateaus and poor trainability that hinder traditional quantum machine learning. While they help mitigate NISQ-era obstacles, their impact goes beyond these limitations.

This workshop aims to foster a community at the intersection of AI and quantum computing. Leading experts will present cutting-edge research, applications, and challenges in an accessible format, making it an ideal platform for early career researchers to engage with the latest developments in the field. Topics will cover model architecture, expressibility, training techniques, and circuit synthesis and optimization, with a focus on industry-relevant applications in quantum chemistry, materials science, and combinatorial optimization. While we will cover AI for error mitigation and post-processing, error correction will not be covered in this workshop.

By encouraging cross-disciplinary collaboration, the workshop will promote knowledge sharing and facilitate innovative solutions for quantum challenges. Attendees will gain valuable insights into the future of quantum technology, including emerging research, benchmarking strategies, and frameworks for industry adoption. This event is ideal for researchers, industry professionals, and students interested in using AI for quantum computing.

 
Keywords — Artificial Intelligence, Foundation Models, Scalable Quantum Computing, Hybrid Quantum-Classical Machine Learning, Quantum Federated Learning, Generative AI, Large language models, Diffusion models, Reinforcement Learning
 
Target Audience — The workshop is aimed at a diverse audience, including researchers, engineers, and professionals from academia, industry, and national labs, who are working on quantum machine learning, quantum software frameworks, and those tackling
challenges related to training quantum models, scalability, and optimization. The workshop will attract experts from fields
such as materials science, quantum chemistry, and combinatorial optimization. Industry professionals exploring AI integration
into quantum computing applications, as well as students and early-career researchers looking to deepen their understanding
of AI’s role in quantum advancements, will also benefit greatly. By fostering collaboration across disciplines, this workshop
aims to provide attendees with cutting-edge insights into the integration of AI and quantum computing, as well as its
practical applications and future research opportunities.

Date — Fri, Sep 5, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
 
Summary — The workshop addresses challenges in quantum software development caused by low-level gate model dependencies and device-specific frameworks. It promotes creating programming abstractions that decouple quantum algorithm design from hardware constraints.
 
Abstract — An effective, accessible abstraction hierarchy has made using and programming classical computers possible for people across all disciplines. It is our hope that the same can be achieved for quantum computing. However, current quantum programming languages and frameworks often require users to have PhD-level knowledge of information theory, mathematics, physics, and/or chemistry. At the applications level, the prevalence of gate-based reasoning to develop quantum algorithms hampers non-experts in delving into the domain. At the hardware level, frameworks are tied closely to the operations each physical device happens to implement. To push the field of quantum computing forward, we deem it essential for the community to develop a common framework and hierarchy of abstractions for use by platform developers and quantum programmers. The workshop seeks to bring together experts spanning the entire quantum software stack with the aim of tackling this challenge. It builds upon the first workshop on the topic that took place at QCE’23 (Quantum Computing Market Success Requires an Application-level Programming Model that Delivers Performance), which spurred the creation of an independent working group. We highlight the necessity for (a) a more user-friendly and information-rich programming language, (b) a hardware abstraction that decouples from restrictions of physical implementations, and (c) an execution model tying the two levels together.
 
Keywords — Quantum computing, HPC, programming languages, abstractions
 
Target Audience — The workshop will attract people involved in developing quantum software, programming-language experts, compiler developers, hardware manufacturers, and HPC users. We anticipate our choice of speakers, across a variety of sectors, will draw participants from research and industry alike. Due to the diversity of audience background, speakers will be encouraged to make their talks accessible to participants at all levels (from students to experienced researchers).

Date — Fri, Sep 5, 2025
Time — 10:00 – 16:30 Mountain Time (MT) — UTC-6
Duration — Each workshop is 4.5 hours (3 sessions of 1.5 hours)
 
Workshop Website — Detailed Workshop Agenda
 
Summary — This workshop aims to explore and facilitate discussions regarding the technical challenges in integrating qubit and photonic/electronic circuits for quantum information science research in academia and industry. The goal is to inform attendees about the challenges associated with developing full-scale quantum computers in academia and industry.

Workshop Agenda

10:00 – 11:30  — Silicon spin qubit and interconnect Session  — Chair: Pei-Wen Li

10:00-10:45 
Quantum computing using electron spins in Si/SiGe gate-defined quantum dot
Mark Eriksson, University of Wisconsin-Madison

10:45-11:30 
Spin readout and control of silicon devices fabricated using an industrial 300mm wafer process
Ross Leon, Quantum Motion

13:00 – 14:30  — Superconducting qubit and interconnect Session  — Chair: Tom Watson

13:30-14:15 
VIO-Based Architectures for Scalable Quantum Processing Units
Pepijn Kluytmans, QuantWare

14:15-15:00 
Superconducting 3D integration for QPU applications
Harshad Mishra, VTT

15:00 – 16:30 — Quantum computer and photonic link Session — Chair: Ryoichi Ishihara

15:00-15:45 
Hardware Technologies Toward Scalable Quantum Computers
Kenichi Kawaguchi, Fujitsu

15:45-16:30
Title
John Teufel, NIST

 
Abstract — Quantum computer (QC) chips are expected to unlock information processing capabilities and speed up simulation times that classical computers cannot achieve. However, the technology is still in its nascent stages compared to the aspirations of achieving large-scale, fault-tolerant computing. Today’s noisy intermediate-scale quantum (NISQ) algorithms can solve a few specific problems in chemistry, material science and machine learning faster than their classical counterparts. However, the noise and overhead of current systems affect their general applicability. Quantum hardware development is limited by qubit count (i.e., approximately 100), error rates and coherence times. Integration remains a significant challenge to demonstrating systems at scale. The first issue is the qubit size. The second issue is the increase in crosstalk when integrating many qubits over a short distance. The third issue is the connectivity between qubits. It is ideal if all the qubits can be connected without increasing the noise. To solve those issues, in addition to the mainstream superconducting spins, multiple qubit platforms are actively researched, such as semiconductor spins, trapped ions, neutral atoms, photonic, color-centers in diamond. The last, but not least, amongst challenges is the wiring between qubit and control/readout electronics. To control and read a state of qubit, electrical wires need to be connected from electronics at RT to near qubits at close to 0K inside a cryostat. Many types of qubits operate in the microwave frequency range, and bulky superconducting RF coax cables are used, which increases the volume and heat load. A cryo-CMOS circuit next to/close to the qubit plane will mitigate the issue. Here, cryogenic 3D integration will be the key technology for integration. This workshop convenes leading experts in quantum computing technologies to outline the current state-of-the-art. These experts will discuss key roadblocks impeding the scale-up of quantum devices. A central focus will be identifying key challenges facing the field of quantum computing.
 
Keywords — Quantum computing, Integration technology, Cryogenics, Photonics, Superconducting qubits
 
Target Audience — This workshop is targeted at quantum information scientists in both academia and industry who are interested in engineering qubits and interface technologies for quantum computers, as well as exploring points of synergy in academic-industrial partnerships. Because the landscape of research in quantum information science has undergone drastic changes over the past several years, many academic and industry researchers find themselves at a point where they must reevaluate their role in advancing the field of quantum information science. In this sense, the workshop is relevant to all academics and industry professionals leading a research program and will likely be of interest to a broad swath of attendees at IEEE Quantum Week.