Introduction to Reinforcement Learning in Quantum Physics - Lecture 1
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
Explore the intersection of quantum physics and artificial intelligence in this comprehensive lecture on reinforcement learning applications in quantum systems. Delve into the fundamental concepts and principles as presented by renowned expert Florian Marquardt from the Max Planck Institute for the Science of Light. Gain insights into how reinforcement learning techniques can be applied to solve complex quantum physics problems and optimize quantum systems. Discover the potential of this cutting-edge field and its implications for advancing our understanding of quantum mechanics and developing new quantum technologies.
Syllabus
Introduction to reinforcement learning in quantum physics 1
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
Quantum Mechanics and Quantum ComputationedX Introduction to Astronomy
Duke University via Coursera Exploring Quantum Physics
University of Maryland, College Park via Coursera La visione del mondo della Relatività e della Meccanica Quantistica
Sapienza University of Rome via Coursera Classical Mechanics
Massachusetts Institute of Technology via edX