Workshop II: Mathematical Aspects of Quantum Learning

What will quantum computers be useful for once we have them? Machine learning and optimization would be important applications if quantum computers were useful for them, but the level of quantum benefit is unknown. One aim of the workshop is to bring together experts in classical and quantum machine learning to discuss the role of mathematical proof as well as experimentation in understanding these topics. A second aim is to explore how classical machine learning techniques can help us build better quantum computers.

Topics: Part of the Long Program Mathematical and Computational Challenges in Quantum Computing