Explore a comprehensive lecture on data-driven techniques for extracting relevant information from quantum many-body systems. Delve into advanced concepts presented by Roberto VERDEL from ICTP, covering cutting-edge approaches in condensed matter and statistical physics. Gain insights into how data-driven methods are revolutionizing our understanding of complex quantum systems and their properties. Learn about the latest developments in this field and their potential applications in quantum physics research and technology.
Data-Driven Extraction of Relevant Information in Quantum Many-Body Systems
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Data-driven extraction of relevant information in quantum many-body systems
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Lecture 1
-
Advanced Quantum Mechanics with Applications
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Part 3
-
Quantum Many-Body Simulations Using Artificial Neural Networks
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Part 2
-
Many-Body Entropies and Entanglement from Polynomially-Many Local Measurements
