Simulation of quantum many-body systems with neural quantum states 1
Description:
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.
Simulation of Quantum Many-Body Systems with Neural Quantum States - Lecture 1