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IEEE Quantum Week 2026 Hosts New Workshop on AI-Driven Quantum Circuit Design
The IEEE Quantum Week 2026, scheduled for 13–18 September in Toronto, will host a new workshop titled “AI for Quantum Circuit Design” that invites researchers to submit papers on how artificial intelligence can aid in gate‑based quantum computing tasks.
The workshop is part of the broader IEEE Quantum Week program and will run alongside other sessions on quantum hardware, algorithms, and applications. It will be held in Toronto, Ontario, Canada, and is open to scholars and practitioners worldwide.
The workshop’s stated objective is to facilitate the exchange of ideas on using AI to address three core tasks in gate‑based quantum computing: circuit synthesis, circuit optimization, and circuit discovery. The organizers emphasize that AI‑driven approaches can help overcome the physical limitations of current quantum devices and accelerate the transition to a practical quantum utility era.
The call for papers specifically seeks contributions that employ deep learning and reinforcement learning techniques for circuit synthesis, hardware‑aware optimization, and automated ansatz discovery. Recent research that aligns with these themes includes FlowQ‑Net, a generative framework that uses flow‑based models to produce efficient quantum circuits, and AlphaTensor‑Quantum, a deep reinforcement learning method that optimizes quantum circuits beyond existing techniques. Other works cited in the workshop description include studies on hardware‑aware quantum kernel design using graph neural networks and reinforcement‑learning agents that generate ansatzes for variational quantum algorithms.
Gate‑based quantum computing relies on sequences of quantum logic gates to implement algorithms. Optimizing these sequences for depth, gate count, and hardware constraints is essential for near‑term devices that suffer from noise and limited connectivity. AI methods that learn from large datasets of circuits or that explore the search space of gate sequences have shown promise in reducing circuit complexity and tailoring designs to specific device topologies. The workshop will therefore provide a forum for researchers to compare new AI techniques with traditional compiler and synthesis approaches.
The workshop has set several key dates for participants. Registration for the event closes on Friday, 19 June 2026. The call for papers deadline is Thursday, 9 July 2026, and the submission deadline is the same day. Authors wishing to present must submit their manuscripts by the submission deadline. Additional information and the full call for papers can be found on the workshop’s website.
As the quantum computing community seeks scalable solutions, the intersection of AI and quantum circuit design is gaining attention. The upcoming workshop will bring together researchers working on deep learning, reinforcement learning, generative models, and hardware‑aware optimization to discuss recent advances and identify future research directions. The outcomes of the workshop are expected to influence the development of next‑generation quantum compilers and hardware‑aware design tools, and to inform the broader IEEE Quantum Week agenda. The workshop will also host poster sessions and a keynote by a leading expert in quantum compilers.
The workshop is part of the broader IEEE Quantum Week program and will run alongside other sessions on quantum hardware, algorithms, and applications. It will be held in Toronto, Ontario, Canada, and is open to scholars and practitioners worldwide.
The workshop’s stated objective is to facilitate the exchange of ideas on using AI to address three core tasks in gate‑based quantum computing: circuit synthesis, circuit optimization, and circuit discovery. The organizers emphasize that AI‑driven approaches can help overcome the physical limitations of current quantum devices and accelerate the transition to a practical quantum utility era.
The call for papers specifically seeks contributions that employ deep learning and reinforcement learning techniques for circuit synthesis, hardware‑aware optimization, and automated ansatz discovery. Recent research that aligns with these themes includes FlowQ‑Net, a generative framework that uses flow‑based models to produce efficient quantum circuits, and AlphaTensor‑Quantum, a deep reinforcement learning method that optimizes quantum circuits beyond existing techniques. Other works cited in the workshop description include studies on hardware‑aware quantum kernel design using graph neural networks and reinforcement‑learning agents that generate ansatzes for variational quantum algorithms.
Gate‑based quantum computing relies on sequences of quantum logic gates to implement algorithms. Optimizing these sequences for depth, gate count, and hardware constraints is essential for near‑term devices that suffer from noise and limited connectivity. AI methods that learn from large datasets of circuits or that explore the search space of gate sequences have shown promise in reducing circuit complexity and tailoring designs to specific device topologies. The workshop will therefore provide a forum for researchers to compare new AI techniques with traditional compiler and synthesis approaches.
The workshop has set several key dates for participants. Registration for the event closes on Friday, 19 June 2026. The call for papers deadline is Thursday, 9 July 2026, and the submission deadline is the same day. Authors wishing to present must submit their manuscripts by the submission deadline. Additional information and the full call for papers can be found on the workshop’s website.
As the quantum computing community seeks scalable solutions, the intersection of AI and quantum circuit design is gaining attention. The upcoming workshop will bring together researchers working on deep learning, reinforcement learning, generative models, and hardware‑aware optimization to discuss recent advances and identify future research directions. The outcomes of the workshop are expected to influence the development of next‑generation quantum compilers and hardware‑aware design tools, and to inform the broader IEEE Quantum Week agenda. The workshop will also host poster sessions and a keynote by a leading expert in quantum compilers.
