Sacl-AI 4 Science Workshop

Session

Material and Quantum Physics

mq

10 juil. 2024, 09:30

BÂTIMENT D’ENSEIGNEMENT MUTUALISÉ (BEM)

13. Machine Learning for Quantum Simulation

Filippo Vicentini (École Polytechnique - CPHT)

10/07/2024 09:30

Invited talks

Talk (Long)

TBC

30. The quantum many-body problem and properties of materials: how to profit from machine learning?

Lucia Reining

10/07/2024 10:15

The understanding and prediction of properties of materials is a quantum many-body problem, and the observed phenomena often go well beyond the range that can be described with simple models. Recently, machine learning has emerged as a new tool that could potentially capture materials-specific or hidden universal features, and therefore help to analyse or design materials, and to improve...

14. Assisting sampling of equilibrium physical states with generative models

Marylou Gabrié (École Polytechnique)

10/07/2024 11:30

Invited talks

Talk (Long)

Deep generative models parametrize very flexible families of distributions able to fit complicated datasets of images or text. These models provide independent samples from complex high-distributions at negligible costs. On the other hand, sampling exactly a target distribution, such the Boltzmann distribution of a physical system, is typically challenging: either because of dimensionality,...