Workshops Abstracts
Sunday, Sep 15, 2024 — Workshops Abstracts
WKS01 — Advanced Simulations of Quantum Computations — Part 1
Dmitry Lyakh, NVIDIA Corp, USA
Yuri Alexeev, Argonne National Laboratory (ANL), USA
Salvatore Mandra, NASA Ames Research Center, USA
Tom Lubowe, NVIDIA Corp, USA
Matthew Otten, University of Wisconsin - Madison, USA
Gonzalo Alvarez, Oak Ridge National Laboratory (ORNL), USA
Date: Sun, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website — https://qce24-asqc.tiiny.site/index.html
Workshop Agenda — QCE24-WKS01-WKS07-ASQC-Agenda.pdfSummary — 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 digital-gate and analog-pulse levels. A particular emphasis will be given to 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 are able to take better advantage of modern classical high-performance computing platforms based on the heterogeneous GPU-accelerated 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 around this important topic.
Keywords — Quantum circuit simulation, Pulse-level simulation, Stabilizer state simulation, Tensor network, State vector, Master equation, GPU computing
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, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://qml.lfdr.de/
Summary — The 2nd edition of QML@QCE fosters an interdisciplinary dialogue between experts from various fields, including AI, ML, software/systems engineering, physics, and more. It will particularly 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.
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 workshop 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 exhibit significant advantages over classical systems. 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. 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 — QML, Applications of QML, early-stage ideas, NISQ advantage for QML
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 codesign efforts between physical implementation and problem domain(s), to bring together experience from computer science, engineering, and physics.
Date: Sun, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda —
Summary — The workshop aims to foster discussions and collaborations around existing and proposed quantum computing standards. This workshop will bring together task group chairs, researcher.
Abstract — Discuss Existing Efforts: Review ongoing initiatives related to quantum standards, their publication plans and expected impact. Promote Interdisciplinary Collaboration: Encourage cross-disciplinary awareness, interactions and contributions among participants. Formulate a Roadmap: Discuss, at least in concept, a roadmap for advancing quantum computing standards, considering both hardware and software aspects. Try to identify key standards activities that would, over time, most benefit the Quantum ecosystem.
Keywords — Quantum standards, networks, QKD, software, SDOs, IEEE, IEC, ISO, ETSI, JTC 3
Target Audience — Industry business planners, industry researchers and development engineers, academic community, government agencies.
Date: Sun, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://sites.google.com/view/ieee-qada
Summary — The workshop aims to showcase state-of-the-art theoretical and software techniques for automated design of quantum algorithms. It is aimed at exploratory work and will be a platform to collaborate on and contrast among researchers working on these techniques.
Abstract — As bigger quantum processors with hundreds of qubits become increasingly available, the potential for quantum computing to solve problems intractable for classical computers is becoming more tangible. However, designing efficient quantum algorithms is a key aspect of achieving 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 to speed up the development of quantum algorithms, reduce errors, and improve 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, geometric machine learning, logic synthesis, diagrammatic reasoning
Target Audience — The workshop is aimed at both academic groups and industrial stakeholders in two broad categories: (1) quantum application developers and quantum algorithm designers, i.e., those who use available quantum computing systems for a defined problem, (2) developers of quantum programming tools (like compilers and SDK), i.e., those who make quantum computing systems more accessible by providing useful abstractions for expressing algorithmic logic.
Date: Sun, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Flyer and Agenda — QCE24_WKS05_Flyer_Agenda.pdf
Date: Sun, Sep 15, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://8277395.hs-sites.com/qblox-workshop-pulse-level-languages-interfaces-and-intermediate-representations
Abstract — Attendees will learn about the most recent developments and next milestones towards the pulse-level software stack for efficient compilation and hardware acceleration in quantum computing.
Abstract — All major quantum-computing modalities are controlled through the sending and receiving of carefully timed and shaped signals. Whether the user is aiming at implementing a quantum algorithm or automating system calibration, an interface that describes this timing and shaping will be present. We refer to solutions in this portion of the software stack as pulse-level. In their current state, pulse-level interfaces are often implementation-specific, leading to a large workload for developers. In the classical-computing world, this has been addressed using a common intermediate representation (IR), functioning as a central connecting point between frontends and backends. While in the quantum-computing world IRs are being actively developed, this field is only in early stage. In particular, the largest focus has been on the highest levels of the stack, which tend to abstract away many details about qubit control. However, pulse-level representations are essential to achieve high efficiency for NISQ algorithms, fault-tolerance, and system calibration. The pulse-level interface and those above it should ultimately be designed to make full use of the computational power in the control hardware. In this workshop, we bring together domain experts to discuss current developments and challenges for a pulse-level intermediate representation, languages and interfaces. We want to foster a discussion on the requirements for these building blocks in order to simplify compilation overhead and enable hardware accelerations. In particular, we aim at creating a shared vision on the roadmap for the pulse-level stack, with the potential to complement high-level IRs in a multi-IR structure.
Keywords — Quantum Software, Pulse Level, Pulse Level, Languages and Compilers, Intermediate Representations, Software Interfaces
Target Audience — The workshop is aimed at all those involved in bringing the quantum software stack to practical utility. The target audience for this workshop is two-fold and we believe that this is one of the key elements that will make this workshop successful. On the one hand, we aim to attract researchers who have a more classical background in software stacks, computing architectures and computer science, and who have already, or are developing, an interest in contributing to the field of quantum computing. We want to encourage attendance from across different backgrounds as well as development platforms. On the other hand, we expect attendance from quantum scientists to quantum engineers that have a peaked interest in software and can contribute with their detailed physics knowledge. Finally, the workshop targets both experts from academia and industry as pulse-level control is timely for the R&D roadmaps in both sectors.
Monday, Sep 16, 2024 — Workshops Abstracts
WKS07 — Advanced Simulations of Quantum Computations — Part 2
Dmitry Lyakh, NVIDIA Corp, USA
Yuri Alexeev, Argonne National Laboratory (ANL), USA
Salvatore Mandra, NASA Ames Research Center, USA
Tom Lubowe, NVIDIA Corp, USA
Matthew Otten, University of Wisconsin - Madison, USA
Gonzalo Alvarez, Oak Ridge National Laboratory (ORNL), USA
Date: Mon, Sep 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website — https://qce24-asqc.tiiny.site/index.html
Workshop Agenda — QCE24-WKS01-WKS07-ASQC-Agenda.pdfSummary — 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 digital-gate and analog-pulse levels. A particular emphasis will be given to 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 are able to take better advantage of modern classical high-performance computing platforms based on the heterogeneous GPU-accelerated 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 around this important topic.
Keywords — Quantum circuit simulation, Pulse-level simulation, Stabilizer state simulation, Tensor network, State vector, Master equation, GPU computing
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 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website and Agenda — https://sites.google.com/view/qcentrepreneurship/
Abstract — The Workshop on Quantum Computing Entrepreneurship is the fifth of its series and has been held annually at IEEE Quantum Week. 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 now is attractive for software companies and startups. There are many public activities, either academic, commercial, or governmental, concerning QC, and the field is gaining much interest and investments. The workshop will bring together entrepreneurs, investors, researchers, and participants in the entrepreneurship ecosystem.
Keywords — Quantum Computing, Entrepreneurship, Intrapreneurship, Venture Capital, Technological Investment
Target Audience — Scientists, engineers, researchers interested in learning on how to develop their own start-up. Entrepreneurs interested in networking and sharing experiences. Investors interested in finding opportunities in the field of QC. Companies interested in broadening its field of interest to QC.
WKS10 — Quantum Network Simulations
Joaquin Chung, Argonne National Laboratory, USA
Alexander Kolar, Argonne National Laboratory, USA
Caitao Zhan, Argonne National Laboratory, USA
Allen Zang, Argonne National Laboratory, USA
Raj Kettimuthu, Argonne National Laboratory, USA
Michal Hajdusek, Keio University, Japan
Naphan Benchasattabuse, Keio University, Japan
Kento Samuel Soon, Keio University, Japan
Rodney Van Meter, Keio University, Japan
Date: Mon, Sep 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://events.cels.anl.gov/e/qnet-sim-qce24
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 networks, simulations, discrete-event simulators, ad hoc simulators
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.
Date: Mon, Sep 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://qai-workshop.ornl.gov
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 about 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 about quantum AI. We will invite QAI experts from academia, industry, and government research institutions to deliver talks to drive the QAI research forward. We also plan to have a keynote and a panel discussion related to critical topics in QAI. In doing so, we hope to promote the exchange of QAI research ideas, build a collaborative platform for QAI research, forge a community of QAI researchers, and outline a long-term research roadmap. We successfully organized this workshop at the IEEE QCE 2020, 2021, 2022, and 2023 and wish to do the same in 2024.
Keywords — Quantum machine learning, variational quantum circuits, quantum computing, artificial intelligence
Target Audience — The primary 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 wish to reach out to professionals in the following fields: quantum computing, quantum information, quantum engineering, artificial intelligence, and machine learning. We expect our attendees to have an education background in computer science, physics, mathematics, electrical engineering, or a related field. We believe that the proposed workshop’s audience will have a diverse set of backgrounds. We welcome all QAI researchers, practitioners, and enthusiasts, including, but not limited to, scientists, professors, educators, postdoctoral researchers, Ph.D. students, graduate students, undergraduate students, engineers, developers, entrepreneurs, newcomers, etc. We hope to garner equal participation from academia, industry, and government research organizations in highlighting recent research in quantum artificial intelligence, quantum machine learning, and quantum algorithm design.
Date: Mon, Sep 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda — WKS12-Agenda-Quantum-Compilation-Intermediate-Representations-v2.pdf
Summary — This workshop will discuss state-of-the-art approaches to quantum compilation for large scale quantum computing systems including multiple quantum and classical processors. Discussion topics will also include challenges and opportunities for integrating quantum processors into existing high performance computing centres. It will be highly interactive, with talks focused on known challenges facing the field, and associated panel discussions — with input from attendees — that seek to collaboratively drive the community toward novel solutions.
Abstract — A critical challenge to effectively use quantum technology is to integrate both quantum and classical resources for computing into a performant system. A vital contribution to enable such an integration is the definition of a suitable intermediate representation, or representations, which are used to progressively translate and specialize application code to target different processors. A common representation and the creation of sharable compilation tools enable a performant and cohesive software infrastructure to build and leverage heterogenous quantum-classical systems to their fullest extent. With this workshop we aim to bring together experts across different areas of the hardware and software stack to discuss recent advances in quantum compilation and system architecture. We will highlight recent advances, future directions, and novel designs through a series of invited presentations on specific challenge topics from leaders in the field of quantum compilation and software. It is our hope that this workshop will spur collaboration and introduce the community to novel ideas, concepts and techniques that enable the creation of a cohesive and unified software toolchain for hybrid applications.
Keywords — Quantum compilation, quantum programming, quantum software, intermediate representation, quantum cloud, high-performance computing
Target Audience — This workshop targets researchers specializing in quantum compilation, quantum architectures, or quantum software systems, developers working on software frameworks for quantum computing, as well as hardware manufacturers aiming to make their hardware widely accessible as part of a larger computing system or cloud offering. Participants should be familiar with quantum computing system architecture, quantum compilation and intermediate representations (possibly have used or designed one). The workshop aims to bring together people with expertise in languages and compilers, quantum control systems, and hardware architectures. This diverse set of backgrounds will ensure we have the proper perspectives available to discuss current challenges and will drive discussions on possible solutions for current and future systems.
Date: Mon, Sep 16, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda — WKS13-QCE24-Agenda-Controls-Workshop-v2.pdf
Summary — The existing solutions for control of quantum computers are expansive, 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 number of qubits, novel qubit implementations and processor architectures are also being investigated, each with their 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 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 could sometimes seem to be along orthogonal dimensions, one requiring diverse control parameters for novel qubits at small scale, the other focusing on one implementation but scaling up to systems larger by orders of magnitude. Following the well-attended past iterations of this workshop in 2022 and 2023, we aim to continue to bring together developers and users of control systems to provide a venue for discussion of the field’s evolving needs, find pathways for meaningful convergence among different directions, and underscore and outline the outstanding challenges.
Keywords — Control Systems, Full-Stack, Codesign, Firmware, Hardware, Software
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 quantum control system research and development.
Tuesday, Sep 17, 2024 — Workshops Abstracts
Date: Tue, Sep 17, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://www.hartree.stfc.ac.uk/events/quantum-computing-for-natural-sciences-technology-and-applications-2024/
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 year’s workshop, we are delighted to announce the second 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: Tue, Sep 17, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Summary — This workshop aims to explore and facilitate discussions regarding the different challenges for quantum information science research in academia and industry. The goal is to inform attendees of challenges related to developing full-scale quantum computers and provide a forum for exploring points of synergy between the academy and industry.
Abstract — Quantum computing has rapidly evolved from small-scale academic demonstrations to a major industrial engineering endeavor. As researchers work to scale-up and improve the performance of quantum systems, both academia and industry face significant hurdles, and they look to overcome them using very different, yet complementary approaches.
Academic researchers enjoy great freedom to pioneer high-risk, novel qubit designs and materials through exploratory research. However, translating these concepts into practical, scalable quantum processors demands the manufacturing capabilities and resources primarily available in industry. Conversely, industrial groups can fabricate highly-reproducible devices and rigorously test them at scale, but may rely on academia’s more speculative ideas and theoretical groundwork.
This workshop convenes leading experts in superconducting and semiconductor qubit 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 areas where strategic academic-industrial collaborations can provide synergy and accelerate progress. By fostering dialogue between the academy and industry, the workshop aims to catalyze cooperation and collaboration to overcome some of the key challenges facing the field of quantum computing.
Keywords — Quantum Computing, Scaling, Industrial challenges, Academic challenges, Superconducting Qubits, Semiconducting Qubits
Target Audience — This workshop is targeted at quantum information scientists in both academia and industry, who are interested in exploring points of synergy in academic/industrial partnerships. Because the landscape of research in quantum information science has drastically been changing over the past several years, many academic researchers find themselves at a point where they are reevaluating their role in advancing the field of quantum information science. In this sense, the workshop is relevant to all academics leading a research program and will likely be of interest to a broad swath of attendees at IEEE Quantum Week.
WKS16 — Integrated Optics for Quantum Computing and Emerging Applications
Kaveh Rahbardar Mojaver, Colorado State University, USA
Mahdi Nikdast, Colorado State University, USA
Odile Liboiron-Ladouceur, McGill University, Canada
Sarah Sharif, University of Oklahoma, USA
Andras Gyenis, University of Colorado, Boulder, USA
Sara Marzban, University of Twente, The Netherlands
Caterina Taballione, Quix Quantum, The Netherlands
Date: Tue, Sep 17, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop and Agenda — https://www.engr.colostate.edu/qec24-wks16/
Summary — This workshop seeks to explore the multifaceted realm of integrated photonic quantum computing, fostering a dynamic exchange of knowledge and collaboration among academic researchers and industry participants.
Abstract — The Integrated Optics for Quantum Computing and Emerging Applications workshop aims to provide a platform for discussing a diverse range of photonic quantum computing-related topics and fostering an environment for the exchange of knowledge and opinions among academic and industrial participants. The workshop comprises three 90-minute sessions featuring invited and contributed speakers and covers six key topics, narrow enough to clearly communicate to the participants what will be discussed and to ensure that the audience is able to comfortably follow all the talks, but broad enough to still remain inviting to the contributed authors. The topics include: Scalable integrated optics for quantum applications; Transition from classical to quantum photonics; Recent advancement in Silicon Photonics for quantum computing; Entangled quantum light sources; Photonic packaging and testing for quantum computing; Photonic physical unclonable functions for data security.
Keywords — Photonic quantum computing, Scalable integrated optics for quantum applications, From classical to quantum photonics, Silicon Photonics for quantum computing, Entangled quantum light sources, Photonic packaging and testing for quantum computing
Date: Tue, Sep 17, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda —
Summary — In this workshop, participants will gain an insight into the frontiers of applying Noisy Intermediate-Scale Quantum (NISQ) algorithms to practical problems by delving into the setup and evaluation process of the Quantum Algorithm Grand Challenge (QAGC), including presentations by the winners of the QAGC 2024.
Abstract — As quantum computing technology advances and qubit capacities continue to increase, it becomes crucial to leverage NISQ devices effectively and to develop NISQ algorithms that facilitate practical applications. Quantum chemistry is among the most promising fields for quantum computing, with numerous NISQ algorithms already devised for this purpose. When considering the application of these algorithms, key questions arise: Among the many NISQ algorithms published, which ones are considered state-of-the-art? How do we determine if modifications to an algorithm improve its performance? And which algorithm best suits a particular company’s needs? To address these questions, we initiated the QAGC last year. This year’s QAGC, running from February to the end of June, challenges participants to tackle problems using a 28-qubit system. During the workshop, we will begin by outlining the motivations behind the QAGC and the methods used to assess algorithm performance in a 90-minute session, which will also cover the evolution of the QAGC since its inception. Subsequently, we will feature presentations from the top three winning teams, with each team leading a 30-minute discussion on their innovative algorithms. The workshop will conclude with a celebration of the winners, a dialogue on future directions for the QAGC, and final remarks. Throughout the event, we aim to foster a dynamic dialogue with the audience about the criteria for evaluating applications and the performance of underlying algorithms.
Keywords — Algorithms, Applications, Quantum Chemistry, Performance, NISQ, Collaboration
Target Audience — Our workshop welcomes a wide range of attendees interested in quantum computing, from students to seasoned researchers and developers in both academia and industry. It is better if participants possess a basic understanding of either computational chemistry or quantum computing. Attendees will gain valuable insights from QAGC participants on quantum computing strategies and will be encouraged to engage in discussions focusing on: (1) the current state of the art, its challenges, and possibilities, (2) innovative concepts for quantum chemistry applications, and (3) collaborative opportunities and the role of crowdsourcing in driving innovation.
Date: Tue, Sep 17, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website and Agenda — WKS18 — Applications Explored on H-Series Quantum Hardware
Summary — Participants of this workshop will receive an overview of recent work performed on H-Series quantum hardware exploring promising quantum computing applications given realistic expectations on how various hardware platforms are likely to progress over the next several years and what is required from a problem structure perspective.
Abstract — Business and industry want quantum computers for solving real-world problems. Many platforms have only just accomplished levels of performance and scale where classical simulation becomes impossible in contrived settings, i.e. when cards are stacked as much as possible against a classical computer. Real world applications have structure, and generally require quantum computers to pull back from doing everything possible to make classical simulation difficult: they must produce very specific states, often with limited entanglement, often using many gates relative to the amount of entanglement generated, and often with reasonably high fidelity. As an industry, we think it is important for researchers to consider and think systematically and incrementally about what comes next for applications research considering how hardware is improving. As gates get better and access to more qubits, how can structure be incorporated to find problems that are more difficult than random circuit sampling (from a hardware requirements perspective) but start to look more like computational problems or real physics simulations? This workshop will explore these questions in the realm of three promising avenues for quantum computing applications as performed on H-Series quantum computers: quantum dynamics, high energy physics, and quantum chemistry. The workshop will cover talks on recent work in these areas and end with a panel discussion exploring and discussing promising avenues for applications.
Keywords — Applications, real-world examples, H-Series, quantum dynamics, quantum chemistry, high energy physics
Target Audience — Workshop attendees are those interested in running or those who have run applications on quantum hardware, including both industry and researchers. The expected background of participants includes those who are exploring applications for quantum computing research and have done work exploring the boundary of current quantum hardware and areas of exploration for applications.
Wednesday, Sep 18, 2024 — Workshops Abstracts
WKS08 — Responsible Quantum Readiness
Mira Wolf-Bauwens, IBM Research Europe, Switzerland
Carolyn Ten Holter, University of Oxford, UK
Natasha Oughton, National Quantum Computing Centre (UKRI), UK
Zeki Can Seskir, Karlsruhe Institute of Technology, Germany
Karl Thibault, Université de Sherbrooke, Canada
Date: Wed, Sep 18, 2024 — date change
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website and Agenda — https://www.rti.ox.ac.uk/2024/06/11/event-ieee-quantum-week-2024/
Abstract — As quantum computing technologies move towards commercialisation, there is increasing interest in their potential impact on society, evidenced by the recent publication of many national strategies and quantum technologies programmes. In the wake of lessons learned from other emerging technologies such as AI, along with increased public scrutiny and societal expectation, there is a clear need for the responsible development and deployment of quantum computing, as well as a collaborative and timely approach. A number of quantum computing institutions are already engaging on this topic, including technology providers, national bodies, prominent research institutes, and technical fora. Recognising the importance attributed to responsible and ethical development and use of quantum computing, this workshop aims to further efforts, going beyond definition to explore novel contributions to the field and next steps towards operationalisation. In this workshop, we discuss associated questions. The first session discusses Operationalising Responsible Quantum Computing, covering efforts to put responsible quantum into practice. This facilitates the exchange of best practices and novel proposals, and the identification of needs relating to the impacts of integrating quantum technologies into society, as well as potential practices, frameworks, standards and regulatory tools for regulating their impact. The second session discusses Technical Aspects of Responsible Quantum Computing, including those relating to quantum machine learning, such as explainability; error correction; HPC integration, and environmental implications, such as energy efficiency. The final session will discuss Opportunities and Challenges for Responsible Quantum Initiatives and Research, and will facilitate the sharing of case studies and lessons learnt.
Keywords — Responsible quantum, societal impact, quantum computing
Target Audience — This workshop targets a wide cross-section of IEEE Quantum Week attendees. The workshop aims to convene interdisciplinary stakeholders across the quantum computing ecosystem, including industry, academia, and responsible and ethical technology research, to discuss and share research on responsible quantum technologies.
Date: Wed, Sep 18, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Summary — Distributed quantum computing (DQC) represents a significant next step in evolving hybrid quantum-classical computing. 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.
Abstract — Distributed quantum computing (DQC) represents a significant next step in evolving hybrid quantum-classical computing. While hybrid systems tightly couple classical and quantum processors distributed quantum computing provides classical and quantum network services to connect and entangle logical qubits. DQC offers ways to build scalable platforms beyond current limitations for exploring quantum architectures, algorithms, and applications. The first part of this workshop offers a DQC overview with distribution principles for quantum architectures, networks, and applications. The second part concentrates on system software including distributed quantum compilation and quantum networking challenges and solutions for DQC. The third part focuses on simulating chemistry systems by distributing the computation across a network of interconnected quantum and classical computers. 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, quantum computers, quantum simulators, quantum interconnects, quantum networks, network control, distributed quantum compilation, methods and algorithms to distribute quantum computations, parallelization, distributed quantum applications, applied quantum chemistry, molecular simulation, quantum utility
Target Audience — We are targeting this workshop to researchers and developers interested in distributed quantum computing, hybrid quantum-classical computing, integrating workflows classically and quantumly, and simulation of molecular problems.
Date: Wed, Sep 18, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://qserv.spilab.es/q-set-2024-home/
Summary — Discussion forum on the latest advances in quantum software engineering and how to produce quantum software following a 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 progress along with the last advances in quantum computing. This event will serve as discussion forum on how to produce quantum software considering lessons learned from the classical software engineering field as well as novel approaches. This implies to apply or adapt the existing software engineering processes, methods, techniques, and principles for the development of quantum software, or even to create new methods and techniques that will help create quantum software with the appropriate quality attributes.
Keywords — Quantum Software Engineering, Quantum Software Engineering Technologies, Quantum Software Lifecycle
Target Audience — The target audience are both, researchers and practitioners coming from industry, that came up with innovative and significant advances or experiences in the field of Quantum Software Engineering and Technology; or those people that are interested on learning about this field. First, this workshop might attract attendees coming from the quantum computing and engineering fields who wants to learn about how to develop quantum software. Second, this workshop will attract attendees coming from the traditional software engineering field who wants to learn about quantum computing technology and programming.
Date: Wed, Sep 18, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Abstract — Quantum computing is poised to begin solving important, practical problems with real-world consequences. While the quantum sector prepares for this transition into applicability, a parallel transition is happening in the world of energy, where large-scale, fossil-fuel-driven generation is facing increased environmental scrutiny and competition from small-scale renewables with rapidly-dropping prices. In this workshop, we will combine these two technological trends and provide a forum for discussion and interaction among academia, industry, and government actors with relevant interests. This workshop will include discussion of both quantum computing devices, ranging from annealers to NISQ devices to future digital quantum computers, as well as a description of some of the major computational challenges facing renewable energy today – simulation for chemistry and forecasting; the rise of distributed generation; and scheduling and dispatch of variable renewable resources. Our goal is to identify the most fruitful areas of collaboration and identify what types of research need to be done to advance the nexus of renewable energy and quantum computing. We welcome participants in quantum computing to learn about this exciting and vital area of application and participants in renewable energy to present computational challenges and learn about the opportunities quantum computers represent. This 5th workshop will continue the conversation that began at IEEE Quantum Week 2020 on quantum computing opportunities in renewable energy and climate change
Keywords — Quantum Computing, Climate Change, Renewable Energy, Quantum sensing, Quantum Communicationt
WKS22 — Quantum Photonics: From Optical Table to Chip
Rogério de Sousa, University of Victoria, Canada
Irina Paci, University of Victoria, Canada
Tao Lu, University of Victoria, Canada
Jeff Young, The University of British Columbia, Canada
Hoi-Kwan Lau, The University of British Columbia, Canada
Paul Barclay, University of Calgary, Canada
Vien Van, University of Alberta, Canada
Shabir Barzanjeh, University of Calgary, Canada
Ke Zou, The University of British Columbia, Canada
Lukas Chrostowski, The University of British Columbia, Canada
Date: Wed, Sep 18, 2024
Time: 13:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://ferroelectricphotonics.ca/events-2/workshop-quantum-photonics-from-optical-table-to-chip/
Abstract — Photons travel at the speed of light, enabling ultrafast operations in contrast to other quantum computing architectures. They can also carry quantum information over long distances as “flying qubits”, needed for a future quantum internet. Despite these inherent advantages, photon-based quantum computers are much less developed than other quantum computing architectures such as atomic ion traps and superconducting circuits. The key obstacle is efficient generation of non-classical states, such as squeezed or entangled states, with low photon loss. To circumvent this problem, state of the art experiments such as the photonic quantum sensor that increased Laser Interferometer Gravitational Wave Observatory’s (LIGO’s) gravitational wave detection by 50% have used an optical table, with large bulk crystals of nonlinear materials to generate photon entanglement and free-space optical propagation to minimize photon loss. However, the optical table approach is a challenge for quantum sensing applications outside the controlled laboratory environment, and is not scalable to the large number of qubits required for a quantum computer with error correction. The purpose of this workshop is to create a forum for scientists and engineers from diverse sectors of quantum photonics in academia and industry. Invited speakers will present their recent breakthroughs and strategies, and then will join a roundtable to answer questions from the moderator and audience. As a result, we hope the workshop will cross-fertilize different fields in order to accelerate the translation of quantum photonics from an optical table to a chip.
Keywords — Photonics, silicon photonics, quantum sensing, quantum hardware, Integrated photonics
Target Audience — Scientists, engineers, and researchers in academia and industry, including graduate students
Date: Wed, Sep 18, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://sites.google.com/view/qce24-bio
Summary — Attendees will gain a comprehensive understanding of cutting-edge quantum computing techniques specifically tailored 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 the field of quantum computing rapidly advances, its potential applications in the realms of bioinformatics and life sciences are becoming increasingly important. This workshop aims to explore the recent breakthroughs and future prospects of quantum computing in addressing complex challenges in biotechnology, pharmaceuticals, healthcare, and related disciplines. By convening researchers from both industry and academia, the workshop seeks to facilitate the exchange of recent findings and collaborative discussions on effective pathways for applying these techniques to address real-world challenges in these domains.
Keywords — Quantum algorithms, biotechnology, drug design, health, life sciences
Target Audience — The target audience includes experts in quantum algorithms interested in applying them to computational biology, drug discovery, and other human health applications, as well as biochemistry 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 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 for bio and life sciences.
Date: Wed, Sep 18, 2024
Time: Between 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — WIHPQC 2024
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 to 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 HPC+QC 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 — High Performance Computing, HPCQC integration and system software, Hybrid applications
Target Audience — As 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 have to 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.
Thursday, Sep 19, 2024 — Workshops Abstracts
Date: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://sites.google.com/view/qce2024-qre-workshops
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. After the success of the first edition of this workshop last year, this year we want to recreate a forum for sharing research and experience related to QRE issues, tools, and techniques with a stronger focus on applications of QRE. On top of the talks and panels discussion during the workshop, we also plan to organize a QRE-focused research challenge for students and young professionals prior to the conference and present the winning projects during the workshop.
Keywords — Quantum resource estimation, fault-tolerant computing & error correction, application tools, quantum algorithms
Target Audience — This workshop targets researchers and experts in the fields of quantum algorithms, compilation, hardware architecture, decoding 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 the topics resource estimation crosses, we do not expect all participants to have the same background..
Date: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://sites.google.com/view/quaco-qce/
- Workshop Agenda (as of 08/15/2024) Any further updates will be reflected on the workshop website above
- 10:00-11:30 – Session 1 (Foundations)
- Edward Farhi (Google Quantum AI): Strategies for Running the Quantum Approximate Optimization Algorithm at Hundreds of Logical Qubits
- Ruslan Shaydulin (JPMorganChase) Progress in Hardware Execution of Quantum Optimization Algorithms
- Boris Tsvelikhovsky (University of California, Riverside): QAOA: How to Exploit Symmetries
- 13:00-14:30 – Session 2 (Applications)
- Yan Li (Pennsylvania State University): Quantum-Enabled Optimal Placement of Meters in Power Systems
- Romina Yalovetzky (JPMorganChase) & Martin Schuetz (Amazon Quantum Solutions Lab): Hardness of the Maximum-Independent-Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups
- Vikram Mulligan (Flatiron Institute, Simons Foundation): Designing Peptides and Proteins with Quantum Computers
- 15:00-16:30 – Session 3 (Advanced Algorithms)
- Jonathan Wurtz (QuEra): Quantum Optimization with Analog and Dynamically Reconfigurable Gate-Based Neutral Atoms
- Reuben Tate (Los Alamos National Laboratory): Theoretical Approximation Ratios for QAOA on 3-Regular Max-Cut Instances at Depth p=1
- Stuart Hadfield (NASA Quantum Artificial Intelligence Lab): Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
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.
WKS27 — Quantum Computing and Reinforcement Learning (QCRL-2024)
Samuel Yen-Chi Chen, Wells Fargo, USA
Joongheon Kim, Korea University, South Korea
Soohyun Park, Sookmyung Women’s University, South Korea
Huan-Hsin Tseng, Brookhaven National Laboratory, USA
Fan Chen, Indiana University Bloomington, USA
Qiang Guan, Kent State University, USA
Ying Mao, Fordham University, USA
Weiwen Jiang, George Mason University, USA
Muhammad Ismail, Tennessee Tech University, USA
Nico Meyer, Fraunhofer IIS, Germany
Chien Khoa Luu, University of Arkansas, USA
Date: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://2024.qcrl.io
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) represents a frontier of exploration in both fields, promising transformative advancements with profound implications across diverse domains. This workshop convenes experts from various backgrounds, including computer science, artificial intelligence/machine learning (AI/ML), and quantum information science, to delve into the intersection of QC and RL. Recent breakthroughs in QC and AI/ML have underscored the potential for synergistic collaboration, with RL showcasing remarkable success in solving sequential decision-making problems and QC offering novel computational paradigms. Our workshop aims to elucidate the current state-of-the-art in quantum reinforcement learning and the application of classical RL techniques in addressing quantum computing challenges. By fostering interdisciplinary dialogue and knowledge exchange, we seek to identify immediate research opportunities and facilitate collaboration among researchers and practitioners from academia and industry. Our long-term vision is to establish enduring partnerships that accelerate innovation and exploration at the interface of QC and RL, driving forward the development of quantum-enhanced decision-making algorithms and unlocking new frontiers in quantum computing applications. Join us as we embark on this journey to harness the potential of combining 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
WKS28 — Quantum Software 2.0: Enabling Large-scale and Performant Quantum Computing
Joshua Izaac, Xanadu Quantum Technologies, Canada
David Ittah, Xanadu Quantum Technologies, Canada
Yunong Shi, AWS, USA
Daniel Strano, Unitary Fund, USA
Elaine Wong, Oak Ridge National Laboratory, USA
Vicente Leyton-Ortega, Oak Ridge National Laboratory, USA
Date: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Summary — Attendees will learn about the limits of today’s dominant quantum software architectures, understand some of the software problems we will face to support large-scale quantum computing efficiently, and hear from guest speakers who are currently exploring potential solutions.
Abstract — Over the past decade, the first generation of quantum hardware platforms came online, and alongside these a common set of quantum software architectures and ideas has developed. For better or for worse, this stack is defined by certain dominant patterns: Python-based libraries, small loosely-structured programs, shared but restrictive program representations (OpenQASM, QIR), online queues, wasteful execution models (e.g., unnecessary repetition, client-server 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. Anticipating such limitations, a number of organizations have already been looking towards new and novel ideas—Quantum Software 2.0. In this emerging era, 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, multi-level 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 in order to unlock this next stage of development. We will hear from guest speakers, panelists, and attendees who have begun experimenting, prototyping, and releasing early versions of new quantum software technologies. We hope to identify and form consensus about the most promising approaches to pursue in the future, as well as foster interest to develop these technologies collectively under open models, for the benefit of the quantum industry as a whole.
Keywords — Qaantum software, quantum programming, quantum representations, dynamic quantum circuits, just-in-time compilation, heterogeneous execution, co-location, MLIR, QIR
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: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda —
Keywords — Quantum computing, trapped-ions, qubits, integrated photonics, quantum networking
Target Audience — The target audience for this workshop includes ion trapping experimental researchers, from students to senior researchers, electrical and software engineers interested in electronic control systems, quantum theorists interested in system characterization, physicists and engineers working on atomic clocks and quantum sensing using trapped ions, fabrication engineers interested in device fabrication and integration, entrepreneurs. We expect roughly 2/3 research and 1/3 industry participation, as the amount of industrial activity in ion trapping has grown rapidly over the last five years.
WKS30 — Quantum in Consumer Technology
Rafael Sotelo, Quantum-South & Universidad de Montevideo; Uruguay
Edoardo Giusto, University of Naples Federico II, Italy
Yuichi Nakamura, NEC Corporation, Japan
Jingbo Wang, The University of Western Australia, Australia
Salvador Venegas Andraca, The Unconventional Lab & Instituto Tecnológico de Monterrery, Mexico
Sreeraman Rajan, Carleton University, Canada
Himanshu Thapliyal, University of Tennessee, USA
Date: Thu, Sep 19, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Abstract — The Workshop on Quantum in Consumer Technology is the third 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, 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 its field of interest to QC.
Friday, Sep 20, 2024 — Workshops Abstracts
Date: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda — WKS31-QCE24-Agenda-Quantum-Algorithms-for-Financial-Applications.pdf
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.
Keywords — Quantum algorithms, quantum computing, finance
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: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://dchcqcs.github.io/
Summary — This workshop discusses three key dependability concepts: Resiliency, Reproducibility, and Security in emerging hybrid HPC-QC systems. The workshop will bring together industry partners, government labs, and academic institutions to develop a dependable-by-construction roadmap for classical-quantum co-design.
Abstract — The maturation of QPUs in terms of number of qubits, noise mitigation and sophistication of quantum control point to the field moving away from NISQ devices into fault tolerance much more rapidly. As these devices integrate more and more into HPC facilities, these need to be characterized in the context of their integration with classical supercomputers and networks. The expectation of the utility of QPUs depends on their dependability, or the ability to operate reliably and securely under a variety of conditions and ensure reproducibility of their outcomes. Our workshop focuses on the need to develop new engineering principles that can define and guarantee dependability of classical quantum computing systems, and center on the development of metrics with predictive utility to estimate a priori the impact of design decisions: we believe it is possible to move into a more prescriptive classical-quantum co-design cycle rather than rely on purely experimental work. We seek to build an open research and development roadmap for dependable classical-quantum computer systems engineering with broad representation from academic, industrial and governmental participants involved in HPC, systems engineering, reliability engineering, quantum computing and other relevant disciplines. This workshop aims to build and solidify a diverse and inclusive community capable of identifying and anticipating technology and integration challenges between classical and quantum technologies to accelerate the maturation of the quantum computing technology ecosystem, and prevent design pitfalls which would otherwise need to be mitigated and addressed in hindsight.
Keywords — Hybrid Classical-Quantum systems, HPC, quantum computing, dependability, reliability, resiliency, security, reproducibility
Target Audience — The target audience is individuals with expertise in classical dependability, fault-tolerant design, classical and quantum compilation, quantum computing technology manufacturing, quantum error mitigation/suppression/correction, quantum control and readout, large-scale system-level monitoring and orchestrating, HPC and quantum algorithm benchmarking, and hardware development. Such figures could be affiliated with a plethora of different institutions, from academia to research centers to private companies in the quantum or classical domain.
Date: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — WKS33-QCE24-Agenda-Fri-Sep-20-2024-v2.pdf
Summary — In the second iteration of this workshop, researchers come together to discuss recent advancements in the optimal control and characterization of quantum devices. With a particular focus on novel applications, attendees will learn about current state-of-the art schemes as well as their challenges and limitations.
Abstract — Recent advances in the design of quantum technologies has led to rapidly increasing numbers of qubits in current quantum computing hardware. However, accurately controlling these large quantum systems remains a fundamental challenge in the current NISQ era and a central task in the successful implementation of quantum-enhanced technologies. Analog control pulses provide the fundamental interface between the quantum compiler and the quantum hardware, and significant progress has been made in the development of computational tools to design control pulses that can realize desired operations with high fidelity. However, the implementation of optimal control techniques on physical quantum devices remains challenging due to numerous obstacles such as model-device discrepancies, high calibration cost, and control hardware limitations. As quantum systems continue to grow in size and complexity, it is essential that we continue to develop and improve optimal control techniques together with modern calibration methods to fully harness their potential. This is the second time the workshop would take place. While in 2023 (WKS05) the focus lay on the design of scalable numerical methods for optimal control and hardware characterization, in this year’s iteration special emphasis is placed on applications of optimal control and its interplay with calibration of quantum devices. Researchers from diverse backgrounds will come together to discuss state-of-the-art optimal control methods and their implementation in different quantum technologies. It provides a platform to develop and foster collaborations amongst different research groups, discuss current challenges and potential solutions, and present new methodologies and applications. During a mix of invited talks and discussion panels, theoretical, numerical, and experimental advances will be presented and analyzed.
Keywords — Quantum optimal control, pulse engineering, data-driven optimization, hardware calibration, pulse-level control
Target Audience — The workshop will be of interest to a wide audience, bringing together researchers in physics, control theory and application, dynamical systems, stochastics and machine learning. Participants from national labs, academia, industry and opensource software community are expected to discuss recent results and developments in numerical methods, theory and software for quantum control and characterization, covering a wide range of topics including multi-qubit systems, effect and suppression of noise, computational aspects, data-driven approaches, and challenges and opportunities in the classical-quantum interface.
WKS34 — Chemical Applications of Quantum Computing
Daniel Claudino, Oak Ridge National Laboratory (ORNL), USA
Bo Peng, Pacific Northwest National Laboratory (PNNL), USA
Travis Humble, Oak Ridge National Laboratory (ORNL), USA
Nicholas Bauman, Pacific Northwest National Laboratory (PNNL), USA
Karol Kowalski, Pacific Northwest National Laboratory (PNNL), USA
Date: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://chemicalapps.ornl.gov/
Keywords — Quantum chemistry, Quantum computing, Chemical dynamics, Quantum utility
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.
Date: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Website and Agenda — https://fullstackquantumcomputation.tech/qce24-workshop/
Abstract — This workshop will explore the importance of quantum open-source contributions to academic and professional education at all levels of quantum computing expertise. Its objectives include analyzing how open-source contributions enhance quantum computing education and evaluating the significance of mentorship programs and other open-source initiatives. The workshop will showcase stories of individuals who have contributed to quantum computing through open-source projects, highlighting their achievements and paths to draw comparisons and insights. Moreover, it aims to determine the main benefits of different open-source quantum initiatives, such as hackathons, tutorials, and talks, as educational resources, while also addressing their current limitations. These include: how to use open-source platforms as a learning tool; how to maximize attendance at QC events; and what it means to be proactive, diverse and inclusive in QC.
Keywords — Quantum education, quantum information science, quantum computing, learning methods, open-source
Target Audience — The workshop is designed to accommodate individuals of all backgrounds, including researchers, professionals from academia and industry, as well as those who have experience as mentors in various programs or collaborating on open source projects. Additionally, it is suitable for newcomers to quantum computing, open source enthusiasts, or individuals with experience in quantum computing or programming but no prior knowledge of open source. It is crucial to ensure equitable representation from these diverse groups to accurately reflect their perspectives and opinions in the resulting report. This will facilitate the creation of local or international mentoring opportunities, contributions to open source projects, or the initiation of open source quantum computing projects during the workshop.
Date: Fri, Sep 20, 2024
Time: 10:00-16:30 Eastern Time (EDT) — UTC-4
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Websites and Agenda — https://8277395.hs-sites.com/qblox-workshop-real-time-decoding-and-control-of-fault-tolerant-systems
Summary — Participants of this workshop will learn about current efforts to bring fault-tolerant devices to fruition. They will be exposed to challenges in controlling these systems at speed and at scale. A particular topic that will be highlighted is that of real-time decoding, where some of the current leading approaches will be explored.
Abstract — Fault Tolerant Quantum Computing (FTQC) is seen as a requirement for reaching useful quantum advantage. As of now, the field is entering the era of early FTQC, where the fault-tolerance building blocks are being developed and deployed on small-scale systems. Industry and academia have demonstrated significant progress with an increasing number of qubits –up to 40 logical qubits encoded in 280 neutral-atoms qubits. However, beyond the scalability hurdles of current NISQ devices, FTQC has the added complexities of real-time decoding and fault-tolerant compilation. In particular, the decoder has to run on an extremely tight schedule (e.g., microsecond timescale for superconducting qubits) and be flexible to deal with a continuous stream -or merging streams- of syndrome data. Furthermore, as the system grows, so does the amount of data to be processed and moved through multiple layers of the control stack. This workshop will discuss the stage of the early FTQC era and the major challenges to move beyond. While enormous progress has been demonstrated in the last couple of years at the level of a single logical qubit, we will discuss the hurdles expected while scaling up to larger codes and systems. We will cover the multidisciplinary challenges of FTQC and real-time decoding, at the level of algorithms, computational resources and classical control. We want to foster a dialogue between FTQC experts, from code designers to system engineers and computer scientists, to create a shared understanding of the next milestones towards demonstrating control of fault-tolerant devices at scale.
Target Audience — The workshop is aimed at all those involved in bringing fault-tolerant devices to fruition. The target audience for this workshop is two-fold and we believe that this is one of the key elements that will make this workshop successful. On the one hand, we expect attendance from quantum engineers, QEC theorists to experimentalists that are developing fault tolerance in their labs. We want to encourage attendance from across the quantum computing stack, as well as from varied qubit technologies. On the other hand, we aim to attract researchers who have a more classical background in computing architectures, computer science and control hardware engineering, and who have already, or are developing, an interest in contributing to the field of quantum computing. This latter group showed a surprisingly large attendance at last year’s workshops and we expect their continued interest based on positive feedback we received. Finally, the workshop targets both experts from academia and industry as fault tolerance is entering the R&D roadmaps in both sectors.