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Introduction to Reinforcement Learning in Quantum Physics - Lecture 2

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 Control Courses

Course Description

Overview

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Explore the intersection of quantum physics and machine learning in this advanced lecture on reinforcement learning applications. Delve into cutting-edge research as Florian Marquardt from the Max Planck Institute for the Science of Light presents the second part of his series on reinforcement learning in quantum systems. Gain insights into how these powerful computational techniques are being applied to solve complex problems in quantum physics, potentially revolutionizing our understanding and control of quantum phenomena. Discover the latest developments in this rapidly evolving field and understand the potential impact on future quantum technologies.

Syllabus

Introduction to reinforcement learning in quantum physics 2


Taught by

ICTP Condensed Matter and Statistical Physics

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