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Introduction to Reinforcement Learning in Quantum Physics - Lecture 1

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Physics Courses Artificial Intelligence Courses Machine Learning Courses Quantum Mechanics Courses Reinforcement Learning Courses Neural Networks Courses Quantum Computing Courses Quantum Information Courses Quantum Control Courses

Course Description

Overview

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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

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