Lecture

Machine Learning for Many-Body Quantum Systems

Description

This lecture covers the application of machine learning techniques to study many-body quantum systems, focusing on variational Monte Carlo methods, neural networks, and matrix product states. The instructor discusses references, software, and reviews in the field.

Official source

https://mediaspace.epfl.ch/media/0_onxtt1p4

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Information engineering

Machine learning: Artificial neural networks

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