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Introduction to Reinforcement Learning in Quantum Physics - Lecture 3

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 Information Courses Quantum Control Courses

Course Description

Overview

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Explore the third installment of a comprehensive lecture series on reinforcement learning applications in quantum physics. Delve into advanced concepts presented by Florian Marquardt from the Max Planck Institute for the Science of Light. Gain valuable insights into the intersection of machine learning and quantum systems over the course of 89 minutes. Expand your understanding of how reinforcement learning techniques can be applied to solve complex problems in quantum physics and potentially revolutionize the field.

Syllabus

Introduction to reinforcement learning in quantum physics 3


Taught by

ICTP Condensed Matter and Statistical Physics

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