As we enter the Quantum Utility era, high performance, stability, and reliability are key requirements for unleashing the power of quantum computing for varied applications, from chemistry, economy, and materials to healthcare. StableQ focuses on stability issues caused by the unstable hardware noise in quantum computing. This workshop was proposed to develop an open platform to present the unstable issue to the quantum computing and computing architecture research community, report the state-of-the-art development efforts, exchange ideas and practices, and foster research collaboration to develop novel techniques to address the unstable noise issue and provide a reproducible quantum computing architecture. We aim to bring together experts and researchers from different backgrounds to explore and share their insights on this critical problem. We expect to discuss different approaches to mitigating noise, including error correction techniques, noise-reducing algorithms, and hardware improvements.

Objectives

The objective of the proposed workshop on the unstable noise of quantum computing is to address one of the most significant challenges in the development of quantum computing: unstable noise. The workshop aims to bring together experts and researchers from different backgrounds to explore and share their insights on this critical problem. The objective is to provide a platform to discuss various approaches to mitigating noise, including error-correction techniques, noise-reducing algorithms, and hardware improvements.

The detailed objectives are listed as follows:

• Develop a comprehensive understanding of the current state of research on unstable noise in quantum computing.
• Provide a platform for researchers and industry experts to present and discuss their latest findings and insights on mitigating unstable noise in quantum computing.
• Foster collaboration among researchers and industry experts to develop novel techniques and strategies for addressing unstable noise in quantum computing.
• Facilitate discussions on the limitations of current techniques and identify areas where further research is needed.
• Encourage the development of reproducible quantum computing systems that can effectively mitigate unstable noise.
• Provide an opportunity for attendees to network and build new collaborations in the field of quantum computing.

Submission Guidelines

We welcome submissions of original research papers and papers that present novel ideas and perspectives on unstable noise in quantum computing from the architecture and system perspectives. Submissions should follow the MICRO 2024 conference format and must not exceed 4 pages without references. Please submit your contribution work at the submission site on Easychair/OpenReview:

The workshop's program committee will peer-review all submissions. Accepted papers will be presented in the workshop as oral presentations. We do not put papers in the ACM or IEEE digital libraries. Therefore, papers submitted to the event can be submitted to other venues without restrictions.

At least one author of accepted papers is expected to present in person during the event.

• Paper submissions due: August 30, 2024 (AOE)
• Acceptance notices: September 15, 2024 
• Final versions due: September 25, 2024
• Physical Workshop: Nov. 3, 2024

• Submissions should be made through the easychair system and should be in PDF format. Please indicate that your submission is for workshop Quantum System Stability and Reproducibility.

List of Topics

• We invite submissions to the 2nd StableQ workshop jointly held at the IEEE/ACM International Symposium on Microarchitecture. The workshop will provide a platform for researchers and industry experts to present and discuss the latest advances in mitigating unstable noise in quantum computing.

  Topics of interest include, but are not limited to:

  • Different approaches to mitigating noise across the quantum computing stack, including hardware improvements, architecture designs, noise-reducing algorithms, and error-correction techniques.
  • Novel quantum architectures and coupled optimization techniques to mitigate the effects of unstable noise.
  • Quantum error correction codes and fault-tolerant quantum computing.
  • Machine learning for quantum noise mitigation.
  • Benchmarking and characterization of noise in quantum computing systems.
  • Applications of quantum computing in noisy environments.
  • Quantum error suppression and noise-tolerant quantum algorithms.
  • Hybrid classical-quantum algorithms for noise mitigation.
  • Quantum error models and noise simulations.  

Committees

Organizing Committee

• Travis Humble (Oak Ridge National Laboratory) umblets@ornl.gov
• Weiwen Jiang (George Mason University) wjiang8@gmu.edu
• Qiang Guan (Kent State University) qguan@kent.edu
• Gushu Li (University of Pennsylvania) gushuli@seas.upenn.edu

Venue

The workshop is held in conjunction with The 57th IEEE/ACM International Symposium on Microarchitecture (MICRO2024), November 2-6, 2024, @ Austin, Texas, USA.

https://stableq.org/

Contact

• Weiwen Jiang wjiang8@gmu.edu
• Qiang Guan qguan@kent.edu