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.
Introduction to Reinforcement Learning in Quantum Physics - Lecture 1
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Introduction to reinforcement learning in quantum physics 1
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
-
Introduction to Reinforcement Learning in Quantum Physics - Lecture 3
-
Introduction to Reinforcement Learning in Quantum Physics - Lecture 2
-
Reinforcement Learning
3.5 -
AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning
-
Reinforcement Learning for Trading Strategies
-
Introduction to Machine Learning and AI
