School on Machine Learning for Quantum Many-body physics

›9:00 (1h45)

Lecture 1 : Neural quantum states / Variational Monte Carlo
Giuseppe Carleo

› Auditorium

›10:45 (30min)

Coffee break

› Place du Village

›11:15 (1h30)

Lecture : Quantum Tomography with machine learning methods
Stefanie Czischek

› Auditorium

›12:45 (1h45)

Lunch

› Place du Village

›14:30 (1h45)

Tutorial : Variational Monte Carlo for Ground-states, NetKet Library
Damian Hofmann / Filippo Vicentini

› Auditorium

›16:15 (30min)

Coffee break

› Place du Village

›16:45 (1h45)

Lecture / Tutorial (online) : Recurrent Neural Networks and their application to ground-states.
Mohamed Hibat-Allah

› Auditorium