YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Quantum Mechanics and Quantum Computation
edX
Introduction to Astronomy
Duke University via Coursera
Exploring Quantum Physics
University of Maryland, College Park via Coursera
La visione del mondo della Relatività e della Meccanica Quantistica
Sapienza University of Rome via Coursera
Classical Mechanics
Massachusetts Institute of Technology via edX