Quantum Statistical Query Learning I of II - IPAM at UCLA

Explore the first part of a two-part lecture on Quantum Statistical Query Learning presented by Vojtěch Havlíček from IBM Thomas J. Watson Research Center at IPAM's Mathematical Aspects of Quantum Learning Workshop. Delve into the quantum generalization of the Statistical Query learning model and its comparison to quantum PAC learning. Discover the motivation behind QSQ, gain a detailed understanding of the model, and learn about the main results. Examine the equivalence of function learning by separable versus entangled measurements. Get an overview of the basic proof strategy for QSQ lower bounds. This 46-minute talk, recorded on October 19, 2023, provides valuable insights into the intersection of quantum computing and machine learning theory.