Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA

Explore cutting-edge applications of Monte Carlo and machine learning techniques in quantum mechanics through this 48-minute conference talk presented by Andrea Tirelli from the International School for Advanced Studies. Recorded on May 25, 2022, at the Institute for Pure & Applied Mathematics (IPAM) workshop at UCLA, delve into the intersection of computational methods and quantum physics. Gain insights into how these advanced approaches are revolutionizing our understanding and simulation of quantum systems. Suitable for researchers, graduate students, and professionals interested in the latest developments in computational quantum mechanics and machine learning applications in physics.

Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA