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Quantum Many-Body Simulations Using Artificial Neural Networks

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Many-body Systems Courses Machine Learning Courses Quantum Mechanics Courses Numerical Methods Courses Condensed Matter Physics Courses Computational Physics Courses Statistical Physics Courses Quantum Simulation Courses

Course Description

Overview

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Explore the cutting-edge intersection of quantum physics and machine learning in this 47-minute lecture by Yusuke NOMURA from Tohoku University. Delve into the innovative application of artificial neural networks for simulating complex quantum many-body systems. Gain insights into how these advanced computational techniques are revolutionizing our understanding of condensed matter physics and statistical mechanics. Discover the potential of neural networks to overcome traditional limitations in quantum simulations, opening new avenues for research in quantum physics and materials science.

Syllabus

Quantum many-body simulations using artificial neural networks


Taught by

ICTP Condensed Matter and Statistical Physics

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