Wednesday, September 23, 2026 - Friday, September 25, 2026 (all day)

ML4QT Symposium | Machine Learning to Advance Quantum Technologies

Fostering exchange and collaboration among experts from academia, research institutions, and industry.

The Machine Learning to Advance Quantum Technologies (ML4QT) Symposium serves as a leading forum for researchers and developers interested in the convergence of machine learning and quantum innovation. Whether you are actively working in this space or seeking to get involved, ML4QT provides an ideal environment to discover new opportunities, foster collaboration, and help drive the next generation of quantum technologies.

This second annual gathering will be held at the Institute for Quantum Computing, within the Quantum-Nano Centre, University of Waterloo from the 23 to 25 of September 2026.

Important Dates

July 1, 2026|Call for Contribution Submission Deadline
July 1, 2026 | General Registration Opens
August 1, 2026 | Contribution Decision Notifications
September 1, 2026 | Registration Closes
September 23 - 25 | ML4QT Symposium

Invited Speakers

Christine Muschik

University of Waterloo

Topic TBC

Barry Sanders

University of Calgary

Artificial Intelligence for Representing and Characterizing Quantum Systems

I review how integrating AI into quantum-system characterisation is typically based on machine learning, deep learning and language models for the core tasks of quantum-property prediction and quantum-system reconstruction with applications to certification, benchmarking, enhancing quantum information processing and identifying critical quantum phenomena. https://arxiv.org/abs/2509.04923