Almost final version of the program is on the website here.
We welcome you in Toulouse, France to attend a series of lectures and participate to tutorials on applications of machine learning techniques to quantum physics, and in particular to quantum many-body physics.
The school will take place in a hybrid format (online/onsite). The school dates are 4th to the 8th of April 2022.
Topics
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 Hofmann (Max Planck, Hamburg)
Florian Marquardt (Max Planck & University of Erlangen-Nuremberg) (* online)
Roger Melko (Waterloo) (* online)
Matthias Rupp (Konstanz Univ.) (* online)
Attila Szabo (Oxford)
Evert van Nieuwenburg (Niels Bohr Institute, Copenhagen)
Filippo Vicentini (EPF Lausanne)
Program
A preview of the program is given is here, with important practical informations here.