Toulouse School on Machine Learning for Quantum Many-body physics

From the 20th to 24th of April, 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.


Topics include introduction to machine learning in many-body physics, supervised and unsupervised learning, various forms of neural networks and their applications in quantum state reconstruction, Variational Monte Carlo etc. 
Lectures will introduce the main concepts and methods, and tutorials will be the opportunity to put this knowledge into practice.


  • Juan Carrasquilla (Vector Institute, Toronto)
  • Kenny Choo (Univ. Zürich)
  • Estelle Inack (Perimeter Institute, Waterloo)
  • Giacomo Torlai (Flatiron Institute, New York)
A preview of the program is given is here, with important practical informations here.
The school will be organized as follows :
- Lectures in the morning 
- Practical hands-on tutorials in the afternoon
(except on Wednesday afternoon, where a series of talks will be given)


Don't forget to regularly check our news !
Important dates
  • Deadline for registration : 13th of March 2020
  • Notification of acceptance : 20th of March 2020
  • School start : 20th of April, 9:30am
  • School end : 24th of April, 4pm


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
  • Hugo Théveniaut
  • Malika Bentour


We are very grateful to our sponsors: 
NanoX        ANR       Labex Next   
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