IMPORTANT NEWS (29th March 2022) :
Registration closed.
You can still contact us at mlqmb@sciencesconf.org for online participation.
Almost final version of the program is on the website
here.
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.
News
Don't forget to regularly check our
news !
Important dates
School start : 4th of April 2022 (registration will start at 08:30, welcome speech at 09:45, first lecture at 10:00)
School end : 8th of April 2022, 4pm (last lecture finishes around 3:30pm)
Registration
The registration can be found
here.
The school is free for all participants to the Labex NEXT in Toulouse (registration is however mandatory !).
Local Organizers:
- Fabien Alet
- Sylvain Capponi
- Bhupen Dabholkar
- Malika Bentour
- Mathilde Rasolomalala
Sponsors
We are very grateful to our sponsors: