Recent advancements in quantum computing platforms, particularly those designed for optimization tasks, such as quantum annealers, gate-based quantum processors, and coherent Ising machines, have unlocked new potential for tackling complex optimization challenges. Leveraging these developments, nowadays, it is imperative to explore optimization algorithms that can be executed on these platforms, as well as investigate their practical applications in real-world contexts.
Domains such as finance, transportation, logistics, chemistry, and machine learning are increasingly exploring quantum computing for promising optimization solutions. Applications range from optimizing complex supply chain networks, improving traffic routing, selecting diversified portfolios in finance, and enhancing the training of machine learning models. This workshop aims to engage graduate students, young researchers, and industry professionals who are eager to understand and apply quantum optimization algorithms in real-world contexts. The workshop also aims to bridge academic advances with industry needs, fostering a community that drives innovation and accelerates the adoption of quantum optimization across various domains. We also aim to discuss future research directions to build a research roadmap for researchers and practitioners. With the involvement of practitioners, we also aim to see their opinions on practical challenges associated with quantum optimization algorithms and applications.
The workshop format will include a combination of keynotes, invited talks, lightning talks, and panel discussions, providing a diverse and engaging experience for participants from both academia and industry. Particularly, lightning talks are abstracts that describe late-breaking results, work in progress, or real-world challenges, which will NOT be published, but will be evaluated according to their ability to generate discussions and suggest interesting areas for future research by program committees.
If you are interested in giving a lightning talk at the workshop, you can send a one-page abstract describing the topic of the talk. Abstracts should be submitted using the IEEE template for conferences https://www.ieee.org/conferences/publishing/templates.html. Submissions should NOT be anonymous.
Submission link: https://openreview.net/group?id=IEEE.org/CEC/2025/Workshop/Q-OptAA
Submission deadline:Â March 28, 2025
Notification of acceptance: April 4, 2025
Tao Yue, Beihang University, China
Paolo Arcaini, National Institute of Informatics, Japan
Yuan Feng, Tsinghua University, China