YoVDO

Simulation of Quantum Many-Body Systems with Neural Quantum States - Lecture 1

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Many-body Systems Courses Machine Learning Courses Quantum Mechanics Courses Neural Networks Courses Quantum Computing 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 field of quantum many-body system simulations using neural quantum states in this comprehensive lecture. Delve into the intricate world of condensed matter and statistical physics as Filippo VICENTINI from Ecole Polytechnique presents groundbreaking techniques for modeling complex quantum systems. Gain insights into the intersection of quantum mechanics, machine learning, and computational physics, and discover how neural networks are revolutionizing our understanding of many-body quantum phenomena. Learn about the latest advancements in this rapidly evolving field and their potential applications in quantum computing, materials science, and beyond.

Syllabus

Simulation of quantum many-body systems with neural quantum states 1


Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Introduction to Artificial Intelligence
Stanford 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