Investigating the Optimization Landscape of Neural-Network Quantum States

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Explore the intricacies of neural-network quantum states' optimization landscape in this 49-minute lecture presented by Agnes Valenti from ETH Zurich. Delve into the complex interplay between quantum mechanics and machine learning as the speaker examines the challenges and opportunities in optimizing neural networks for quantum state representation. Gain insights into cutting-edge research at the intersection of condensed matter physics, statistical physics, and artificial intelligence.

Syllabus

Investigating the optimization landscape of neural-network quantum states

Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Classical Simulation of Quantum Many-body Systems with Tensor Networks
Simons Institute via YouTube Quantum Computing and the Difficulty of Simulating Quantum Many-Body Systems - Ignacio Cirac
Institute for Advanced Study via YouTube Ergodicity Breaking in Quantum Many-Body Systems
International Centre for Theoretical Sciences via YouTube Provably Efficient Machine Learning for Quantum Many-Body Problems
Simons Institute via YouTube On the Complexity of Quantum Many Body Systems
International Mathematical Union via YouTube