Workshops Program

Workshops Scope and Goals

IEEE Quantum Week 2023 Workshops provide forums for group (i.e., 20–50 participants) discussions on QCE23 topics in quantum research, practice, education, and applications. Workshops provide opportunities for researchers, practitioners, scientists, engineers, entrepreneurs, developers, students, educators, programmers, and newcomers to exchange and discuss scientific and engineering ideas at an early stage before they have matured to warrant a conference or journal publication. In this manner, an IEEE Quantum Week workshop serves as a forum for common interests or as an incubator for a scientific community to form a research roadmap or share a research agenda. Workshops are the key to sustaining, growing, and evolving IEEE Quantum Week in the future. Note IEEE Quantum Week is a multidisciplinary quantum computing venue.

Workshops Co-Chairs and Contacts

Workshops Program

  • Dates: Sunday – Friday, September 17-22, 2023
  • Time: 10:00 – 16:30 Pacific Time (PDT) — UTC-7
  • Duration: Each workshop is 4.5 hours (3 sessions of 1.5 hours)

QCE23 Workshops Overview

Sunday, Sep 17, 2023

Wednesday, Sep 20, 2023

Thursday, Sep 21, 2023

Friday, Sep 22, 2023

QCE23 Workshops Abstracts

Date: Sun, Sep 17, 2023 — Part 1
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Date: Mon, Sep 18, 2023 — Part 2
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Summary: The workshop will provide an in-depth highlight of the state-of-the-art techniques and software for classical simulations of quantum computations at both the circuit and analog pulse levels. A particular emphasis will be given to scalability of the underlying algorithms and their ability to leverage largescale GPU-accelerated high-performance computing platforms to push the simulation boundaries to an extreme. 
Abstract: This workshop will bring together participants from the national labs, academia, and industry to share recent results in algorithms and software for large-scale quantum circuit and pulse-level simulations involving a broad range of techniques, including state-vector, tensor network, graphical model, stabilizer-state, and pulse-level simulations. As quantum computing hardware is steadily evolving towards the quantum advantage regime, classical simulation of quantum processing units is becoming more and more challenging, yet crucial for the verification and validation of the new hardware and algorithms. In recent years, we observed fast progress in new advanced techniques enabling more efficient simulations of an increasingly large number of qubits. Importantly, these techniques and algorithms are able to take better advantage of modern classical high-performance computing platforms based on the heterogeneous 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 collaboration to stimulate the formation of an inclusive research community focused around this important topic.
Keywords: Quantum circuit simulation, Pulse-level simulation, State-vector simulation, Tensor network simulation, High performance computing, 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 17, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda:

Session 1 — 10:00 – 11:30

  • Motivation & Applications — Superposition, Entanglement, Interference
  • Qubit and States
  • Activity
  • Single Qubit Gates, Superposition, and Measurement
  • Crystal Experiment

Lunch — 11:30 – 13:00

Session 2 — 13:00 – 14:30

  • Multi-qubit State
  • Multi-qubit Gates
  • Hands-on: IBM Quantum Experience and Circuit Composer
  • Quantum Enigma Scenario
  • Building the Algorithm on the Composer

Session 3 — 15:00 – 16:30

  • Simplifying the Circuit
  • Skillsbuild on Quantum Enigmas
  • Panel: Careers in Quantum
Summary: This workshop provides a hands-on and interactive introduction to the world of quantum computing, without requiring prior knowledge. Participants will have the opportunity to launch their first algorithm on a real quantum computer and explore various career paths and challenges in quantum computing.
Abstract: Quantum computing is a field that utilizes the properties of quantum mechanics to perform computational tasks and could fundamentally change what is practically computable. This workshop aims to introduce attendees to the exciting world of quantum computing in a hands-on capacity. No prior knowledge of quantum physics, linear algebra, or programming is required for workshop participants.
During this workshop, we will present the fundamental concepts of quantum computing, including qubits, quantum gates, superposition, entanglement, interference, and measurement in an interactive and intuitive manner. To teach these concepts effectively, we utilize (1) unplugged activities–activities that teach computing concepts without the use of a computer, and (2) “The Quantum Enigmas”–a video series that uses engaging problem sets to teach concepts in quantum computing. While this workshop is accessible to all, it is tailored to the level of secondary school students. Upon participation, students will have launched their first algorithm on a real quantum computer, will have been presented with different paths to entering a quantum computing career, and will have been introduced to some of the current challenges in the area of quantum computing.
Keywords:  Quantum computing education, Quantum computing for high schoolers and teachers, Introduction to quantum computing, Qubits. Quantum gates, Superposition, Entanglement, Measurement, Qiskit, CS-unplugged, Quantum Enigmas
Target Audience: We have designed this workshop to be primarily in-person but is structured to cater to online participants as well. We expect about 30 attendees, who will be primarily high-schoolaged students (grades 9-12). We welcome observers and teachers to attend.

Date: Sun, Sep 17, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda:

Session 1: Applications

  • 10:00 – 10:20 — Romina Yalovetzky, JPM Chase: Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer
  • 10:20 – 10:40 — Yan Li, Penn State University: Optimization and Analysis of Renewable Energy Systems When Meeting with Quantum Computing
  • 10:40 – 11:00 — Jonathan Wurtz, QuEra: Post-processing and Non-native Combinatorial Optimization with Hybrid Quantum-classical Computation
  • 11:00 – 11:30 — Panel Discussion
  • 11:30 – 13:00 — Lunch

Session 2: Foundations

  • 13:00 – 13:20 — Yanzhu Chen, Virginia Tech: An Adaptive Strategy in Quantum Optimization Algorithms”
  • 13:20 – 13:40 — Brandon Augustino, Lehigh University: Solving the Semidefinite Relaxation of QUBOs in Matrix Multiplication Time, and Faster with a Quantum Computer
  • 13:40 – 14:00 — Martin Larocca, Los Alamos National Lab: Geometric Quantum Machine Learning
  • 14:00 – 14:30 — Panel Discussion
  • 14:30 – 15:00 — Break


Session 3: Modified Algorithms

  • 15:00 – 15:20 — Alicia Magann, Sandia National Lab: Feedback-based Quantum Optimization
  • 15:20 – 15:40 — Davide Venturelli, NASA: Design and Execution of Quantum Circuits using Tens of Superconducting Qubits and Thousands of Gates for Dense Ising Optimization Problems
    15:40 – 16:00 — Igor Gaidai, University of Tennessee: Convergence properties of Multi-Angle Quantum Approximate Optimization Algorithm
    16:00 – 16:30 — Panel Discussion
Summary: Participants in this workshop will learn about recent advances in the applications, mathematical foundations, and modifications of quantum algorithms for combinatorial optimization.
Abstract: Combinatorial optimization (CO) problems are a class of discrete optimization problem that seeks to maximize or minimize a given objective function. CO problems have a wide variety of applications including scheduling, supply chain logistics, and network analysis. These types of problems can require hundreds of thousands of variables, making them intractable in especially complex models. Recent work in quantum algorithms has identified that CO may be a class of problems on which quantum primacy can be achieved. The goal of this workshop is to highlight recent advances in quantum algorithms research as applied to CO problems. The first topic of the workshop is “Applications”. In this session, the invited speakers will discuss recent work in quantum algorithms research and how it is applied to complex combinatorial optimization problems. The second workshop topic is “Foundations”. This session will focus on the mathematics behind quantum algorithms and how it can be used to determine whether or not quantum algorithms can be used to solve a given combinatorial optimization problem. The final workshop theme is “Modified Algorithms”. The speakers in this session will discuss methods that can be used to modify current quantum algorithms and how these modifications impact performance.
Keywords: Quantum algorithms, Combinatorial optimization, Quantum simulation, Graph theory, Quantum computing applications
Target Audience: The target audience for this workshop is scientists and engineers, particularly physicists and optimization experts, in graduate school, post-docs, and in the workforce. The attendees are expected to have a background in combinatorial optimization and/ or experience with QAOA, VQE, or other hybrid quantum-classical algorithms. The speakers are from universities, national labs, and industry, and so the target audience would include people from all of these backgrounds

Date: Sun, Sep 17, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop websites:
Abstract: The implementation of a fault-tolerant (FT) quantum computer is crucial to satisfy the large-scale requirements of quantum algorithms that will release the potential of quantum computing in a wider range of areas. Despite the huge advances performed in NISQ devices for the different layers of the full-stack, in fields like quantum error correction coding and co-processor designs for real-time decoding, most of the proposals show a large gap between the results obtained with theoretical simulations and the implementation in real devices or do not address crucial issues such as scalability. For instance, key questions related to quantum hardware resources and architecture for protecting physical qubits in large-scale quantum devices for several code families and technologies are still an open problem. In addition, although hardware-agnostic proposals will allow more portable solutions between devices and architectures, realistic noise models should be defined to quantize the impact of quantum error correction and mitigation techniques under different scenarios. In the same way, holistic compilation techniques to deal with a variety of error sources and support FT quantum operations have to be explored. Finally, the implementation of real-time error decoding co-processors that meet timing and power constraints for several quantum technologies should be considered, making a deeper analysis of the environmental conditions in which these co-processors will be running as well as the interfaces employed to communicate with the quantum device.
The aim of this workshop is to bring experts representing different FT and quantum error correction (QEC) efforts that include: (a) quantum hardware and architecture design for error corrected large-scale quantum devices, (b) implementation and evaluation of QEC on real devices, (c) compilation of FT quantum circuits, error-aware and mitigation techniques and realistic noise models, and (d) new quantum code constructions and decoding aspects, with emphasis on real-time quantum error correction decoders.
Keywords: Fault-tolerant quantum computing, Error-aware compilation techniques, Quantum processor resources, Noise models, Quantum error correction (QEC), QEC codes, Real-time decoders for QEC
Target Audience: The target audience will cover several communities, areas, and backgrounds from both Industry and Academia, such as full-stack quantum computing architects/engineers, physicists, quantum coding theorists, experts in quantum frameworks and compilation tools, quantum software engineers, circuits and VLSI designers, whose main interest will be to learn both needs and solutions for the next generations of fault-tolerant large-scale quantum computers from a full-stack approach as active players in future designs. On the other hand, the workshop also targets final users of quantum computers, who may be interested in the state-of-the-art of nowadays devices and in how to scale up and make more reliable quantum computing systems.
The workshop will also target students and young researchers that are interested in the topic as well as other professionals with expertise in classical problems but with an interest to contribute in the quantum field, to increase the number of participants in the task force mentioned in subsection C, with the aim of making faster progress in the design of fault-tolerant solutions and integrate a broader the knowledge and experience

Date: Sun, Sep 17, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop websites:
Summary: The objective of this workshop is to provide attendees with an opportunity to acquire knowledge about the impact and challenges of including fault-tolerant techniques on full-stack quantum computing systems. The workshop aims to equip attendees with skills to identify bottlenecks, constraints, challenges, and milestones to enhance interaction between layers and improve the effectiveness towards a more reliable computation in real devices. The workshop will cover a range of topics, including quantum hardware for quantum error correction implementation, quantum compilers and software, optimization techniques to mitigate errors, quantum error correction codes and decoders, and quantum noise sources.
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 numerical methods and 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 quantum control methods to fully harness their potential, drawing from optimization theory, numerical analysis, and data-driven machine learning approaches.
This workshop will bring together researchers from diverse backgrounds to discuss state-of-the-art development efforts of numerical quantum optimal control and characterization techniques, as well as progress towards practical implementations on hardware at scale. 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, with a particular focus on scalable and robust methods that aim to put quantum control and characterization for large systems into the realm of the possible.
Keywords: Quantum optimal control, Numerical optimization, Data-driven optimization, Device characterization, 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 classicalquantum interface.

Date: Sun, Sep 17, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
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 to bring 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 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 aims to foster 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 aims to advance the state of the art in QML and identify practical applications of the technology.
Keywords: Quantum machine learning, QML, Quantum applications
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.

Monday, Sep 18, 2023 — Workshops Abstracts

Date: Mon, Sep 18, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Summary: The workshop on Progress and Challenges in Quantum Intermediate Representations (IR) will expose attendees to the current state-of-the-art related to quantum IR development, expression, deployment, and utility. 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:  The proliferation of quantum computing system architectures and associated mechanisms for high-level programming has effectively introduced a stove-piped architecture that places a burden on programmers hoping to write quantum-classical applications that target a variety of quantum backends. Ultimately this is a compilation issue – how does one develop an efficient compilation approach that lowers any language representation to any quantum coprocessor architectural type? This problem arose in the classical computing world as well, and has been effectively solved through the introduction of a common intermediate representation (IR) (e.g. the LLVM) – an object model that language lowering methods can target with implementations provided for lowering the IR to available CPU instruction sets. Now researchers are seeking similar approaches for the introduction of a common quantum intermediate representation enabling a unified and cohesive software infrastructure for quantum-classical accelerated-node application development. We seek approaches that let quantum language compilers target a common IR layer that can be further lowered to any native backend architecture. The goal of this workshop is to provide a platform for discussing current state-of-the-art approaches to quantum intermediate representation development, expression, deployment, and utility. We will highlight recent approaches, 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 languages, compilers, and frameworks enabling a cohesive and unified software toolchain for quantum-classical computation..
Keywords: Quantum compilation, Quantum programming, Quantum software
Target Audience: This workshop targets developers and researchers in the field familiar with all parts of the quantum computing system architecture. Attendees will be familiar with the concept of intermediate representations (possibly have used or designed one) and some of the common challenges we face with current IR approaches. This will attract a good mix of participants as this is a pressing need in commercial applications and a solution that can help researchers do the experiments that they need to. Ultimately, we want our audience to consist of 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 proposed, targeted solutions.

Date: Mon, Sep 18, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda:
Session 1 — 10:00 – 11:30  Context-setting and Landscape
  • Welcome/opening remarks by chairs
  • Keynote: Julian Velzen + Q&A
  • Group breakout session on identifying priorities across the quantum computing stack and ecosystem and possible impacts on relevant stakeholders — including 10m feeding back to plenary
Lunch — 11:30 – 13:00 Session 2 — 13:00 – 14:30 — Access and Equitability
  • Paper presentations: Dr Carolyn Ten Holter; Dr Mira Wolf-Bauwens; Zeki Seskir
  • Q&A discussion with presenters
  • Group breakout session on access to QC – including 10 minutes feeding back to plenary
Session 3 — 15:00 – 16:30 — Embedding and Operationalizing
  • Panel: Industry and academic perspectives on the opportunities and challenges in developing QC responsibly: Dr Jennifer Glick, Dr Nathan Baker, chaired by Dr Natasha Oughton
  • Group breakout section on embedding and operationalizing responsible and ethical quantum computing within industry and academia – including 10m feeding back to plenary
  • Closing remarks from chairs
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 programmes on quantum technologies. As we have learned from other emerging technologies such as AI, public scrutiny and societal expectation around the responsible development and deployment of new technologies is on the increase — and most nations with a quantum computing programme therefore have parallel programmes on its responsible deployment. The current stage of development of quantum computing provides an early opportunity to build community consensus and capability throughout the ecosystem to ensure responsible and ethical quantum computing, alongside technical advances.
Key questions include the priorities for responsible and ethical development; who will have access, and for what purpose; how to prioritize use cases for good; and what regulation and governance might be required. Incorporating consideration of these questions at an early phase of development provides greater opportunities to shape pathways while development remains malleable, in order to prioritize the application of the technology to realize social benefits.
Recognizing the need to consider these topics has led to calls from industry stakeholders for guidelines and work on the responsible and ethical development of quantum computing. This workshop will bring together stakeholders from across the quantum computing ecosystem, together with researchers in responsible and ethical quantum computing from the humanities and social sciences, to build capabilities in responsible quantum computing, and to develop responsible quantum computing champions in industry and academia.
In this workshop, we discuss associated questions, including:
  • Opportunities and challenges in the responsible development of quantum computing
  • Societal benefits and risks
  • Quantum computing governance and regulation
  • Access to and democratization of quantum computing

The workshop will constitute an interdisciplinary exchange, providing the opportunity for discussion between stakeholders from industry, and both quantum computing and responsible innovation researchers.
Keywords: Responsible and ethical quantum computing, Cabability building, Societal impact, Access to quantum computing, Democratizing quantum computing, Quantum computing ecosystem, Community and champions, Training and education, Interdisciplinary exchange
Target Audience: This workshop targets a wide cross-section of IEEE Quantum Week attendees. While we are expecting researchers in Quantum Ethics and Responsible Research and Innovation experts to join, interested Quantum Computing researchers (hardware, software, middleware, developers) as well as the growing number of industry stakeholders interested in responsible innovation and deployment of Quantum Computing will also attend.

Date: Mon, Sep 18, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Abstract:  Dynamical systems, such as those in plasma physics and fluid-dynamics, are major challenges for classical simulation. A substantial fraction of today’s high-performance supercomputing is devoted to the resolution of these problems. While quantum computation has been extensively studied for its significant applications in quantum chemistry and quantum physics, far less is understood about its impact on the study of high-dimensional classical dynamical systems. Very recently there has been a range of significant advancements in this direction, and so now is the time to forge a new research community.
This workshop will bring together experts from industry, academia and national labs, and draw on a range of backgrounds to address the potential of quantum algorithms in this strategically important space. The goals are: to create an ecosystem and facilitate new collaborations, to discuss emerging techniques, and to identify targets that are (a) classically intractable, (b) amenable to near/medium term quantum simulation, (c) of real-world significance.
The workshop will focus on quantum linear solver and Hamiltonian simulation-based methods for the solution of both linear and nonlinear differential equations. The program will include a panel discussion on the latest results, open problems and directions going forward. We welcome experts in areas such as dynamical systems, plasma physics and fluid-dynamics who are interested in bridging the current gap between quantum algorithms and established classical simulation methods.
Keywords: Quantum Computing, Quantum Algorithms, Dynamical Systems, PDE, Nonlinear, Fluid-dynamics, Plasma physics, Curse of dimensionality, Quantum advantage
Target Audience: We welcome a mix of experts from the areas relecant to the interdisciplinary scope of the subject matter. We expect participants from quantum algorithm development and related areas (quantum information theory, quantum computing). We welcome experts in areas such as dynamical systems, plasma physics and fluid-dynamics who are interested in bridging the current gap between quantum algorithms and established classical simulation methods.

Date: Mon, Sep 18, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
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 constitute as an exciting opportunity to bring together experts from industry, government, and academia to explore new ideas and approaches in quantum simulations for chemical systems. The primary goal of the workshop is to facilitate collaboration among researchers in different fields and to identify new pathways to quantum simulation that can enable large-scale, impactful applications in the chemical space. 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 advantage in chemical applications. 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 simulations for chemical systems..
Keywords: Chemistry, Biochemistry, Materials science, Quantum simulation, Quantum algorithms, Quantum computing
Target Audience: The topical audience for this workshop are quantum computing application developers as well as computational chemistry and materials science practitioners adopting quantum computing methods. This will include participants from academia, government, and industry with a strong overlap in sectors for materials, energy, transportation, and defense.

Tuesday, Sep 19, 2023 — Workshops Abstracts

Date: Tue, Sep 19, 2023
Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
Duration: 4.5 hours (3 x 1.5 hours)
Workshop Agenda:

Session 1: Quantum Education — Moderator: Olivia Lanes, IBM Quantum

  • 10:00 – 10:10 — Welcome, opening remarks and speaker introductions
  • 10:10 – 10:20 — Ghislain Lefebvre, Institut Quantique
  • 10:20 – 10:40 — Aaliyah Fowler, IBM Quantum
  • 10:40 – 11:00 — David Stewart, Purdue University
  • 11:00 – 11:30 — Panel Discussion

  • Session 2: Research & Open Science — Moderator: Nick Bronn, IBM Quantum

    • 13:00 – 13:05 — Speaker Introductions
    • 13:05 – 13:25 — Nate Stemen, Unitary Fund
    • 13:25 – 13:45 — Pranav Mundada, Q-CTRL
    • 13:45 – 14:05 — Siyuan Niu, Lawrence Berkeley National Lab
    • 14:05 – 14:30 — Panel Discussion

    Session 3: Workforce Development — Moderator: Kaelyn Ferris, IBM Quantum

    • 15:00 – 15:05 — Speaker Introductions
    • 15:05 – 15:25 — Michael Hatridge, University of Pittsburgh
    • 15:25 – 15:45 — Olivia Lanes, IBM Quantum
    • 15:45 – 16:05 — Michael Hayduk, AFRL
    • 16:05 – 16:30 — Panel Discussion
    Abstract:  Building up the quantum workforce remains a top priority for industries and agencies working in quantum technology. In this workshop, we will divide our time into 3 sections: open research/science, quantum education, and workforce enablement. We will feature panels on all 3 topics with talks and discussions that will not only highlight current best practices but generate new ideas. The goal of these panels is to provide resources and methods to contribute to both building up the quantum community within your workspace or university department as well as to the growing quantum community at large. With the collaborations formed from this workshop we will empower educators and students alike to be able to conduct research on state of the art IBM quantum tools, and teach these topics in the classroom.
    Keywords: Education, Open Science, Open source, Workforce
    Target Audience: Our target audience is anyone looking to begin engaging with quantum educational material or looking for better ways to conduct open science in the space.

    Date: Tue, Sep 19, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    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 talks 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 (virtual), 2021 (virtual) and 2022 (hybrid) and wish to do the same in 2023 (hybrid).
    Keywords: Quantum Artificial Intelligence, Quantum Machine Learning, Quantum Computing, Artificial Intelligence, Machine Learning
    Target Audience: The primary goal of this workshop is to foster discussions between domain scientists with large-scale applications and researchers that 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 audience of the proposed workshop will have a diverse set of backgrounds, and welcome all QAI researchers, practitioners and enthusiasts: including but not limited to scientists, professors, educators, postdoctoral researchers, PhD 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 the fields of quantum artificial intelligence, quantum machine learning and quantum algorithm design.

    Date: Tue, Sep 19, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract:  As Quantum Computing technology evolves with qubit capacity regularly duplicating, we need to understand how to make better use of Noisy Intermediate-Scale Quantum (NISQ) devices and create algorithms that will enable useful applications. Quantum chemistry is considered one of the most promising for quantum computers, and a standard measure for evaluating the quantum algorithms for molecular problems is needed. To develop applications, it is important to clarify the key factors to consider when evaluating algorithm performance in each application.
    We created a global online contest, the “Algorithm Grand Challenge”, to gather new ideas to make use of NISQ devices for quantum chemistry, that runs from Spring to Summer 2023. During the contest, participants submit algorithms that are evaluated using a standard performance metric we defined that identifies the main development bottlenecks related to error mitigation, number sampling size, iterations, and vanishing gradients.
    In the workshop, we first explain the motivations for the challenge and the methodology used to evaluate algorithm performance in a 90-minute session. Then, we invite the four winner teams to share their proposed algorithms on a 30-minute discussion each. Finally, we will conclude the session by celebrating the winners and concluding remarks. Throughout the workshop, we will engage the audience in an active discussion about the criteria to evaluate applications and underlying algorithm performance.
    Keywords: Algorithms, Applications, Quantum Chemistry, Performance, NISQ, Collaboration
    Target Audience: The workshop is intended for a developer audience from mix of industry and academia that are interested in understanding how to evaluate algorithm applicability performance and maximize their potential for NISQ Devices. The audience should have a general understanding of computational chemistry or otherwise quantum computing engineering.
    The audience will hear from the QAGC participants and winners their insightful perspectives on how to approach quantum computing software development and will actively participate in a discussion on: (1) the technology state of the art with its limitations and opportunities; (2) propose new ideas for use case development for quantum chemistry; (3) how to foster innovation to collaborate and crowd-source ideas.

    Date: Tue, Sep 19, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract:  The Workshop on Quantum Computing Entrepreneurship is the fourth 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 Capitals, 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 Quantum Computing. Companies interested in broadening its field of interest to Quantum Computing.

    Date: Tue, Sep 19, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract: Access to quantum computers (QCs) for a wide range of users has become ubiquitous, yet gleaning real-world benefit from those QCs continues to be the stumbling block for progress of the industry. Current hardware challenges will likely be met via ongoing technology advances driven by practical needs. However, creating productive programming constructs and languages to harness the power of those QCs requires a deliberate and concerted effort. In this workshop, we focus our attention precisely on this question – how will application developers solving real-world problems pose their problems to QCs and get superior performance to that from classical computers?
    We argue that the current incumbent, the circuit model, bears two serious shortcomings preventing it from becoming a scalable programming model used by millions of application developers, the target we must have for QC to fulfill its expected technical and economic impact. First, circuits sit at a very low level in the language expressiveness hierarchy, simultaneously distracting users from the computational meaning of problems and sacrificing intellectual energy to managing complex details removed from the algorithm itself. Second, the circuit model is not sufficiently precise to deliver near-optimal performance from existing and future QCs, essential to sustain its viability. Hence, we seek to find better computational models, better in two main dimensions – computational scientists’ ability to reason with them to solve real-world problems and software tools’ ability to map them to near- and long-term QCs with high performance.
    Keywords: Quantum programming models, Quantum software, Quantum performance, Quantum productivity
    Target Audience: The audience targets the groups discussed above in II. QCapp developers will listen to our ideas and provide feedback on how well they see our ideas working for them. Academic quantum-programming-model researchers will hear feedback from QC-app developers and quantum-system developers about the opportunities for and constraints on quantum programming models. Performance-focused developers will learn about how QC-app developers want to reason about quantum algorithms and develop quantum programs. Program managers from funding agencies will learn about the state of the art in all these aspects of QCs and how these technical forces will evolve over the next few years.

    Date: Tue, Sep 19, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Workshop Agenda:

    Session 1

    • 10:00 – 10:30 — Carmen G. Almudever, Technical University of Valencia: The Lever of Quantum Communications for Scalable Quantum
      Computing Architectures
    • 10:30 – 11:00 — Marcello Callefi, University of Naples Federico II: Distributed Quantum Computing
    • 11:00 – 11:30 — Bálint Koczor, University of Oxford: Error Mitigation Enabled by Multicore Quantum Devices
    • 11:30 – 13:00 — Lunch


    Session 2

    • 13:00 – 13:30 — Fred Chong, University of Chicago: Modular, Distributed, and Hybrid Systems with Quantum Chiplets
    • 13:30 – 14:00 — Wojciech Kozlowski, QuTech/Delft University of Technology: Network Protocols for the Quantum Internet
    • 14:00 – 14:30 — Ilia Khait, IonQ: The Quantum Interconnect Bottleneck
    • 14:30 – 15:00 — Break


    Session 3

    • 15:00 – 16:30 — Panel Discussion –  Eduard Alarcon, UPC BarcelonaTech (Moderator) and all Speakers: Towards scalable distributed Multi-core Quantum Computing Architectures: Quantum Networks to the Rescue
    Summary: The attendees may learn from this workshop common challenges and identify complementarities between modular quantum computing architectures and large-scale quantum networks.
    Abstract: Scalability is one of the main challenges towards building a quantum computer capable of tackling real-world problems that are beyond the reach of any classical computer. Modular quantum computing architectures have been proposed for different qubit technologies to overcome the bottleneck of increasing the number of qubits in current NISQ devices that are implemented as single-chip processors. In this new architectural approach multiple quantum processors are connected via single control systems, classical communication channels and ultimately quantum communication links. We refer to the latter, in which both classical and quantum communication channels are incorpo- rated, as multi-core quantum computing architectures. They will allow performing distributed multi-core quantum computing, this is, executing in an aggregated manner large algorithms exceeding the resources of single processors. The full-stack infrastructure in such modular architectures for scaling up quantum computing systems shares a lot of similarities with the quantum networks that are being deployed for a future quantum internet. For instance, amongst others, they both require addressing remote quantum information exchange, the integration of classical as well as quantum communication channels, and the design of communication protocol architectures. Relevant differences encompass the need or not of quantum repeaters due to the distance range, and the diversity of control capabilities and requirements.
    In this workshop, we are bringing in experts from both the quantum computing and the quantum internet communities to address common challenges and identify complementarities in a multidisciplinary approach. We will focus on (a) technologies for implementing quantum-coherent interconnection links and networks, (b) communication protocols, and (c) compilers and architectural designs.
    Keywords: Scalability of quantum computing systems, Modular quantum computing architectures, Quantum-coherent communication links, Quantum networks, Quantum internet
    Target Audience: Given the multidisciplinary character of this workshop, which addresses central layers of both the communication and computing stacks for different domains, the target audience potentially includes the complete technical breadth of quantum computing and quantum networks. Attendees background include researchers in quantum device and communication link technologies, quantum computer architecture, quantum network protocols, compilation, distributed quantum computing and quantum internet. Beyond the scope of expertise, the workshop tackles a common central need of both researchers from Academia and Industry, and will address research topics for both forefront researchers as well as guidelines for fertile areas of interest to young researchers, given its broad yet oriented scope.

    Wednesday, Sep 20, 2023 — Workshops Abstracts

    Date: Wed, Sep 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Summary: This workshop focuses on the intersection of quantum and high-performance computing, with a particular focus on using quantum computers as accelerators for HPC systems. Invited talks, contributed papers as well as a panel will focus on all aspects of HPCQC from hardware and system software aspects to programming approaches and hybrid applications.
    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, Hybrid Quantum Computing, Integration
    Target Audience: The target audience is twofold – for one we are focusing on the broad communities in the area of both HPC and QC: from the HPC side, quantum computing has gained interest to overcome some the limitations of classic architectures, consequently also generating interest in integrating QC as acceleration into HPC environments; from the QC side, integration efforts are needed to scale QC devices, to make them available alongside major infrastructure, and to support larger workflows with pre- and postprocessing. Both make integration necessary.
    Additionally, the contributed component will allow authors to discuss state-of-the-art concepts of QC/HPC integration, also providing contents as well as a venue for more specialized discussions.

    Date: Wed, Sep 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Workshop Agenda:

    Session 1: 10:00-11:30

    • 10:00 – 10:10 — Kasra Nowrouzi, Lawrence Berkeley National Laboratory: Introductory Remarks
    • 10:10 – 10:25 — Edwin Barnes, Virginia Tech University: Controlled-based variational quantum algorithms
    • 10:25 – 10:40 — Pranav Gokhale, Infleqtion: More knobs, more power: What quantum software engineers can do with the right control stack
    • 10:40 – 10:55 — Kenneth Rudinger, Sandia National Labs
    • 10:55 – 11:30 — Panel Discussion

    Session 2: 13:00-14:30 

    • 13:00 – 13:15 — Alexei Bylinskii, QuEra: Neutral-atom quantum computer architectures: from analog, to digital, to error-corrected
    • 13:15 – 13:30 — David Liefer, Quantinuum: Quantinuum Control System Overview
    • 13:30 – 13:45 — Leon Riesebos, IonQ: A perspective on open-source and proprietary real-time control systems
    • 13:45 – 14:00 — Thomas Alexander, IBM: Classical Control Systems at IBM Quantum
    • 14:00 – 14:30 — Panel Discussion

    Session 3: 15:00-16:30

    • 15:00 – 15:10 — Sadik Hafizofic, Zurich Instruments: A control stack that accelerates progress towards quantum advantage
    • 15:10 – 15:20 — Fokko de Vries, QBlox: Scalable control and readout with integrated electronics
    • 15:20 – 15:30 — Joseph Emerson, Keysight
    • 15:30 – 15:40 — Gang Huang, Lawrence Berkeley National Laboratory
    • 15:40 – 15:50 — Anastasiia Butko, Lawrence Berkeley National Laboratory
    • 15:50 – 16:30 — Panel Discussion
    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 initial iteration of this workshop in 2022, we aim to continue to bring together developers and users of hardware 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: Quantum Hardware, Quantum Control, Control Systems, Hybrid Algorithms
    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.

    Date: Wed, Sep 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    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 field of renewable energy and quantum computing. We welcome participants in quantum computing to learn about this exciting and vital area of potential application and participants in renewable energy to present computational challenges and learn about the opportunities quantum computers represent. This 4th workshop will continue the conversation that began at IEEE Quantum Week 2020 on quantum computing, renewable energy and climate change.
    Keywords: Quantum Computing, Climate Change, Renewable Energy, Power Systems 
    Target Audience: Our target audience is a mix of researchers and leaders in quantum computing and others in renewable energy. The goal is to start a dialogue between two emerging fields. In quantum computing, we hope to attract researchers who are experts in near-term applications such as optimization, adiabatic quantum computing, and NISQ devices. Renewable energy experts desired include those with focuses on grid planning, operations, simulations, and chemical engineering (for energy storage or PV). We expect that the workshop will be primarily attended by experts in quantum computing, so we will prioritize the recruitment of renewable energy experts to balance the discussion.
    Due to the focus on practical quantum computation, we anticipate that there will be many interested parties from quantum computing industry players. Developing a business case for quantum computing in the fast-growing renewable energy sector is likely to be very interesting to that audience. However, because there are many unanswered questions about the nature of quantum speed-ups for optimization or other near-term possibilities, we will also heavily value academic input and insight into the quantum computing state of the art.
    Our first workshop brough together a number of companies and academic groups who have either conducted limited research into this intersection already or who are interested in doing so. We hope that participants in our first workshop will be excited to experience a second round, which the potential to deepen their own connections.

    Date: Wed, Sep 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    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: 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. The workshop is divided 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 to equip participants with a deeper understanding of the potential of quantum computing to revolutionise the natural sciences, high-lighting 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 would 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: Wed, Sep 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    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 becomes a relevant topic for both researchers and practicioners. 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 Technology, Software Engineering
    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 20, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Invited speakers:
    • Mark Saffman – Infleqtion
    • Boris Varbanov – TU Delft
    • Glenn Jones – Rigetti
    • Ted Yoder – IBM
    • Natalie Brown – Quantinuum
    • Sabrina Hong – Google Quantum AI
    • Jan Wichmann – Riken
    • Mercedes Gimeno-Segovia – PsiQuantum
    Abstract: Fault Tolerant Quantum Computing (FTQC) is seen as a requirement for reaching useful quantum advantage. Hardware companies, academic groups and national labs have demonstrated significant progress with small error-corrected systems, but there remain many challenges for controlling fault-tolerant devices at scale. Beyond the existing hurdles in controlling NISQ devices – such as increasing qubit counts and the fidelity of control signals – FTQC has the added complexities of real-time decoding and fault-tolerant compilation. Leading experiments have demonstrated coordination of up to 49 qubits in a QEC context, but achieving full fault-tolerant computation will require millions of qubits. As this system grows so does the amount of syndrome data to be processed; moving this information through different layers of the quantum control stack and decoding it with the required throughput, is one of the potential challenges that requires multidisciplinary collaboration.
    This workshop aims to go beyond considering the ingredients for FTQC individually and will look at the system as a whole. During the session, we will explore current successes in controlling small error-corrected devices, whilst uncovering the early system integration challenges that have arisen. The workshop will feature a panel discussion on the next challenges and milestones towards full fault tolerance and how to approach system integration for these complex devices. We want to foster a dialogue between FTQC experts, from code designers to classical control system engineers, to create a shared understanding of the next steps towards demonstrating control of fault-tolerant devices at scale.
    Keywords: Fault Tolerant, Quantum Error Correction, Quantum Control System, System Integration,
    Real-time Decoding
    Target Audience: The workshop is aimed at all those involved in bringing fault-tolerant devices to fruition. From QEC theorists to hardware engineers and experimentalists. We want to encourage attendance from across the quantum computing stack, as well as from varied qubit technologies.
    We expect backgrounds to be varied, from those that are expert in the field of fault-tolerant devices to those who want to attend to learn more about this topic.
    We have a mix of industry and research participation in our target invited speakers list.

    Thursday, Sep 21, 2023 — Workshops Abstracts

    Date: Thu, Sep 21, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Summary: In this workshop, participants will have an opportunity to learn about the importance of quantum resource
    estimation (QRE) and the challenges associated with performing them. The workshops will provide a platform to share research on
    QRE and related topics, get accustomed with multiple 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 amount of resources required for performing a given quantum computation or task. We need to understand this in order to quantify the tradeoff between benefit/utility of performing quantum computations versus their cost. Such costs can have wide-ranging impacts on investment decisions made by corporations, academia, research institutes and Governments. Quantum Benchmarking program created by DARPA or launch of Azure Quantum Resource Estimator by Microsoft are some of the recent initiatives showing that there is a substantial interest in this topic among various institutions. QRE also enables the connection between people working on various subdomains of quantum computing – e.g. it makes it possible for algorithm developers to work with realistic hardware assumptions rather than idealized models, which makes the implementation of the algorithms much more efficient. This international workshop is focused around the development of a community of interest in QRE, and provides a forum to share research on QRE issues, tools, techniques and tool demonstrations. The workshop aims to promote a better understanding of QRE, explain why QRE is a key tool in making advances in quantum computing – this will be achieved through a combination of talks, panel discussions and tool demonstrations.
    Keywords: Quantum computing, Quantum resource estimation, Fault-tolerant computing & error , Correction application tools
    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. 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: Thu, Sep 21, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Workshop websites:
    Abstract: The Quantum Computing industry is progressing each year towards a future where it will significantly impact the daily lives of consumers. The Workshop on Quantum in Consumer Technology, the second of its series at IEEE Quantum Week, aims to explore the current state, advancements, and future prospects of Quantum Technologies, with a particular focus on interdisciplinary technologies, manufacturing, applications, 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 Quantum Computing. Companies interested in broadening its field of interest to
    Quantum Computing.

    Date: Thu, Sep 21, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Workshop Agenda:
    • 10:00 – 10:30 — Introductions
    • 10:30 – 11:00 — Software Architecture Challenges in Integrating Hybrid Classical-Quantum Computers: V. Stirbu, T. Mikkonen 
    • 11:00 – 11:30 — A QIR Toolchain with XACC: E. Wong, S. Afrose, M. Gowrishankar, D. Claudino, V. Leyton-Ortega, S. Johnson, T. Humble
    • 11:30 – 13:00 — Lunch break
    • 13:00 – 13:30 — Working group brainstorming
    • 13:30 – 14:30 — Working groups
    • 14:30 – 15:00 — Coffee break
    • 15:00 – 16:00 — Working groups
      16:00 – 16:30 — Panel discussion/Next step
    Workshop Website:
    Summary: In this workshop you will learn about the fundamental engineering challenges associated with the software architectures of hybrid quantum/classical systems, and participate in a discussion around the latest thinking on methods and tools for addressing these challenges.
    Abstract: The software architecture of a system has a profound impact on the cost and the quality attributes of a system, such as performance, availability, security, testability, and modifiability. There is a large and growing body of tools, methods, and empirical evidence upon which to create and analyze architectures. While this body of knowledge exists for classic computing systems, there is currently no equivalent body of knowledge for quantum software engineers. We aim to address this shortcoming in this, the first WOSAQ: Workshop on Software Architecture concerns for Quantum. Our end goal for this workshop is to create an initial body of knowledge and a research roadmap that will guide future researchers in their pursuit of this critically important topic. .
    Keywords: Software architecture, Quality attributes, Hybrid quantum/classical systems
    Target Audience: Our target audience is software engineers, software architects, and researchers who are involved in the creation of non-trivial hybrid quantum/classical systems, who have struggled with quality attribute issues and their satisfaction, or who have found novel solutions to quality attribute challenges. V

    Date: Thu, Sep 21, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    10:00-11:30 — Session 1
    • Davide Braga, Fermilab: CryoCMOS modelling and PDK development for GF 22 FDX
    • Dennis Nielinger, Forschungszentrum Jülich: Cryogenic CMOS for local qubit control

    13:00-14:30 — Session 2
    • Todor Mladenov, Intel: Control electronics in the full stack of a scalable quantum computer
    • Juwan Yoo, Google: Control Electronics Approaches for Superconducting Quantum Processors

    15:00-16:30 — Session 3
    • Troy England, Fermilab: Towards 10 GSPS ADC development at 4K
    • Arnaud Bousquet, Microsoft: Comprehensive CryoCMOS PDK Development
    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 21, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract: Trapped-ion quantum technologies, including quantum computers, sensors, and clocks are developing rapidly. The challenge of scaling up these systems to larger numbers of ions remains an area of escalating focus. As the number of qubits increases from tens, to hundreds, to thousands, the technology must change in form to meet the new system requirements, while also maintaining the fidelity required for overall quantum performance. In this workshop we will explore the research at these frontiers by focusing on two main areas: trap-integrated technologies and novel quantum architectures.
    Trap-integrated technologies will include presentations on the challenges of scaling optical and electrical I/O with increasing numbers of ions. This topic will focus on optical addressing and control (e.g. on-chip waveguides, optics, and modulators), as well as ion state readout with integrated detectors (e.g. on-chip SPADs and SNSPDs). Novel quantum architectures will focus on new quantum gate designs and implementations that allow for scalabity of the interactions within the systems (e.g. transport-enabled gates and laser free gates), as well as novel trap designs (e.g. junction transport and modular trap design). At the end of this workshop, participants will have a greater understanding of the challenges of scaling up trapped-ion quantum systems, as well as their potential solutions.
    Keywords: Trapped Ion, Quantum Computing, Integrated Photonics
    Target Audience: While the approaches to solving the challenges of scalability will be purposely varied in the list of invited speakers, we seek to benefit from the overlap of different perspectives and technologies. This workshop seeks to bring together a varied group, both in expertise and areas of focus, and we believe that this will not only serve to help update the state of each thrust but to provide an opportunity for overlapping ideas to develop. We anticipate connections and collaborations will form as a result of this workshop and that the quantum community will continue to broaden to include new areas of expertise.

    Friday, Sep 22, 2023 — Workshops Abstracts

    Date: Fri, Sep 22, 2023
    Time: 10:00-16:50 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    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.
    10:00-11:30 Session 1: State Preparation and Sampling
    • Elton Zhu, Fidelity Center for Applied Technology: Quantum State Preparation of Normal Distributions using Matrix Product States
    • Aditi Dandapani, QCWare: A Quantum Spectral Method for Simulating Stochastic Processes, with Applications to Monte Carlo
    • Jin-Peng Liu, University of California, Berkeley: Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
    • Q&A with Elton Zhu, Aditi Dandapani and Jin-Peng Liu


    13:00-14:30 Session 2: Optimization
    • Ruslan Shaydulin, JPMorgan Chase: Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
    • Xiaodi Wu, University of Maryland: Quantum Hamiltonian Descent
    • David Amaro, Quantinuum: Exploring the Neighborhood of 1-Layer QAOA with Instantaneous Quantum Polynomial Circuits
    • Q&A with Ruslan Shaydulin, Xiaodi Wu and David Amaro


    15:00-16:50 Session 3

    Part 1: Derivative Pricing

    • Will Zeng, Unitary Fund: Resource Estimates for Practical Advantage in Quantum Finance
    • Koichi Miyamoto, Osaka University: Quantum Algorithms for Pricing Multi-asset Derivatives Based on the finite Difference Method with the Focus on the Read-out Problem
    • Q&A with Will Zeng and Koichi Miyamoto

    Part 2: Machine Learning

    • Mekena Metcalf, HSBC: Quantum Kernel Methods for Fraud Detection
    • Samuel Yen-Chi Chen, Wells Fargo: Quantum Deep Recurrent Reinforcement Learning
    • Q&A with Mekena Metcalf and Samuel Yen-Chi Chen
    Keywords: Quantum algorithms, Finance, Quantum industry, Applications of quantum computing
    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 22, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract:  The era of Noisy Intermediate-Scale Quantum (NISQ) computing presents significant challenges in terms of noise and scalability. While superconducting quantum computers have made rapid advancements and alleviated some scalability issues, high levels of noise remain a major obstacle for practical quantum computing applications. Current quantum error correction techniques require an unfeasibly large number of qubits, making them unsuitable for near-term solutions. Instead, quantum error mitigation and noise-aware optimization offer promising alternatives, but their effectiveness can be impacted by the instability of noise levels on quantum devices. Recent research has highlighted this instability, prompting proposals for addressing the issue. This workshop aims to provide a forum for the quantum computing research community to address unstable noise, share state-of-the-art developments, exchange ideas and practices, and foster research collaboration to develop novel techniques for mitigating unstable noise and advancing reproducible quantum computing systems.
    Keywords: Quantum System, Stability, Reproducibility
    Target Audience: The proposed workshop on the unstable noise of quantum computing can be of interest to a broad range of participants, including researchers, industry experts, and students working in the field of quantum computing. The workshop can be designed to accommodate participants with different levels of expertise and backgrounds, including:
    • Researchers: The workshop can be of interest to researchers working on theoretical and experimental aspects of quantum computing, including quantum error correction, quantum algorithms, quantum hardware, and quantum sensing.
    • Industry experts: The workshop can also be of interest to industry experts working in quantum computing, including those involved in developing quantum hardware and software, and those exploring the potential applications of quantum computing in various domains, such as finance, healthcare, and logistics.
    • Students: The workshop can also be of interest to graduate and undergraduate students working on projects related to quantum computing, including those in physics, computer science, engineering, and mathematics.
    The workshop will be designed to accommodate participants with different levels of expertise and backgrounds, including those with a strong background in quantum computing and those with a more general background in science or engineering. Participants should have a basic understanding of quantum mechanics and some familiarity with the basics of quantum computing

    Date: Fri, Sep 22, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract: As bigger quantum processors with hundreds of qubits become increasingly available, the potential for quantum computing to solve problems that classical computers cannot 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 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 towards automation of quantum algorithm design, programming, and compilation. Topics covered include: formal logic; category theory; geometric machine learning; circuit synthesis; variational approaches; reinforcement learning; evolutionary computation..
    Keywords: Quantum algorithms, Machine learning, Category theory, Circuit synthesis, Reinforcement learning, Evolutionary Computation
    Target Audience: The workshop is aimed at both academic groups and industrial stakeholders in two broad categories:
    • quantum application developers and quantum algorithm designers, i.e., those who use available quantum computing system for a defined problem,
    • 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.
    The expected number of attendees is in the range of 15 to 60. The plan is to individually reach out to the authors of relevant articles in the domain, both as presenters, as well as for advertising the workshop in their respective research circles. A tentative list of participants is provided in Appendix A. Based on the participant’s perceptions and feedback, we will assess the proposition for a second edition with a call for papers.

    Date: Fri, Sep 22, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Abstract: The field of quantum computing is moving rapidly, and while we are still in the era of noisy intermediate-scale quantum (NISQ) computers, the focus is turning to fault tolerant quantum error correction (FTQEC). Quantum error correction (QEC) enables building low-error logical qubits out of noisy physical qubits, as long as the error rate of each physical qubit is below some fault-tolerant threshold. Quantum characterization, verification, and validation (QCVV) enables the precise measurement of the errors in quantum gates, and QCVV experiments demonstrate that, while large-scale FTQEC is still many years away, contemporary quantum gates are approaching the thresholds for many QEC codes, such as the surface code. However, it is currently unclear how to best use QCVV methods to measure progress towards FTQEC, or how the information gained from QCVV experiments — about the error processes in quantum gates — can be leveraged to optimize FTQEC schemes. The goal of this workshop is to provide a platform for discussing QCVV for FTQEC. We will highlight recent developments in QCVV that extend QCVV methods into the relevant regimes for FTQEC, discuss how to compare physical error rates with thresholds for fault tolerance, how FTQEC schemes might be optimized by leveraging information from experimental QCVV, and how we can quantify the performance of early and full-scale FT quantum computers. We will bring together a wide range of experts in the field with expertise in QCVV theory and experiment, current hardware, QEC theory, and application benchmarks. We intend this workshop to be an open platform for discourse, and we hope that it will spur future collaborations between the QEC and QCVV communities that result in enhanced FTQEC schemes and improved QCVV methods..
    Keywords: Quantum Computing, QCVV, Benchmarking, Characterization, Fault Tolerance, Quantum Error Correction
    Target Audience: The target audience for this workshop is researchers and students who have a background (or interest in) the general topics of QCVV/benchmarking/characterization and FTQEC. The audience is not expected to be experts in either field; however, they are expected to have a general understanding of the topic(s) of this workshop. This workshop hopes to draw audience members from both academia and industry.

    Date: Fri, Sep 22, 2023
    Time: 10:00-16:30 Pacific Time (PDT) — UTC-7
    Duration: 4.5 hours (3 x 1.5 hours)
    Summary: See how others are planning a path to fully error-corrected quantum computing and provide input on what needs to happen and by when. The experience will be valuable to anyone involved in technology planning, research and development management, or interested in the big picture.
    Abstract: Technology roadmapping helped the semiconductor community to successfully coordinate research and development efforts for over two decades. Several quantum computing technology roadmaps are now under development by the IEEE International Roadmap for Devices and Systems (IRDS) and a variety of other organizations. This workshop is intended for anyone involved or interested in developing technology roadmaps for quantum computing. The approaches to quantum computing are sufficiently different that separate technology roadmaps can be developed for each. Key to the development of roadmaps is identification of technology needs, hard problems, and timelines for development. The first step is to identify when a technology is ready for or in need of roadmapping, which is another reason to separate the roadmaps by approach. Each of three workshop sessions will cover one or more approaches to quantum computing: superconducting, ion traps, and other. Each session will feature a short introduction to the roadmapping process, a few presentations, and an interactive roadmapping session.
    Keywords: Technology roadmapping, Quantum computing, Superconducting quantum computing, Ion trap quantum computing, Photonic quantum computing, Neutral atom quantum computing
    Target Audience: See how others are planning a path to fully error-corrected quantum computing and provide input on what needs to happen and by when. The experience will be valuable to anyone involved in technology planning, research and development management, or interested in the big picture.