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Home page > Events > School on Machine Learning for Quantum Many-Body Physics [4th-8th April 2022]

School on Machine Learning for Quantum Many-Body Physics [4th-8th April 2022]

by Webmaster - 12 February

All the versions of this article: English , français

The LPT organizes the

Toulouse School on Machine Learning for Quantum Many-Body Physics

that will take place in Toulouse, France (4th-8th April 2022).

Topics include introduction to machine learning in quanutm many-body physics, supervised and unsupervised learning, various forms of neural networks and their applications in quantum state reconstruction, Variational Monte Carlo, study of ground-state and dynamics of quantum many-body systems etc.

Lectures will introduce the main concepts and methods, and tutorials will be the opportunity to put this knowledge into practice.

Lecturers

• Giuseppe Carleo (EPF Lausanne) • Stefanie Czischek (Waterloo) • Mohamed Hibat-Allah (Vector Institute, Toronto & Perimeter Institute, Waterloo) (* online) • Damian Hoffmann (Max Planck, Hamburg) (* unconfirmed) • Florian Marquardt (Max Planck & University of Erlangen-Nuremberg) (* online) • Matthias Rupp (Konstanz Univ.) (* unconfirmed) • Evert van Nieuwenburg (Niels Bohr Institute, Copenhagen) • Filippo Vicentini (EPF Lausanne) • More to come ...

Registration is now open (deadline for registration: 8th of March 2022). More information can be found on the following website: https://mlqmb.sciencesconf.org