Quantum Many-Body Simulations Using Artificial Neural Networks
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
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
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent