Explore the cutting-edge application of transformer wave functions to quantum spin models in this 47-minute lecture by Federico BECCA from the University of Trieste. Delve into the innovative approaches and methodologies used to analyze complex quantum systems, gaining insights into the latest advancements in condensed matter and statistical physics. Learn how transformer-based techniques are revolutionizing our understanding of quantum spin models and their implications for future research in the field.
Transformer Wave Functions for Quantum Spin Models
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Transformer wave functions for quantum spin models
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Lecture 1
-
Quantum Many-Body Simulations Using Artificial Neural Networks
-
Ab-initio Variational Wave Functions for the Time-(In)dependent Many-electron Schrödinger Equation
-
Classical and Quantum Spin Liquids
-
Frustrated Heisenberg Models, Possibly Treated With Neural-Network Wave Functions - Federico Becca
-
Dirac Spin Liquid and Quantum Critical Point on Square Lattice
