Nathan Wiebe - Quantum Machine Learning

Explore quantum machine learning in this comprehensive lecture by Nathan Wiebe from the University of Toronto, presented at IPAM's Mathematical Aspects of Quantum Learning Workshop. Delve into the intersection of quantum computing and machine learning, examining how quantum algorithms can potentially enhance and revolutionize traditional machine learning techniques. Gain insights into the latest developments in this cutting-edge field, including potential applications and challenges. Discover the mathematical foundations underlying quantum machine learning and understand how these principles can be applied to solve complex problems more efficiently than classical methods.

Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA