Sacl-AI 4 Science Workshop

Session

Material and Quantum Physics

mq

Jul 10, 2024, 9:30 AM

BÂTIMENT D’ENSEIGNEMENT MUTUALISÉ (BEM)

13. Machine Learning for Quantum Simulation

Filippo Vicentini (École Polytechnique - CPHT)

7/10/24, 9:30 AM

Invited talks

Talk (Long)

TBC

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

Lucia Reining

7/10/24, 10:15 AM

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)

7/10/24, 11:30 AM

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,...