Évènements

Classical limits and quantum advantage in nonlocal games Chunxiao Liu (LPS)   We introduce nonlocal games, which are multiplayer games in which players must coordinate their answers to local questions to win, without communicating with each other. They can win more often when they are allowed to share an entangled quantum state (quantum strategy) than […]

Emergent Patterns from Predator-Prey Taxis Promote Diversity Giulia Lorenzana (University of Chicago) Many organisms have the ability to move in response to external stimuli. We study the effect of inter-specific taxis on the organization and diversity of complex ecosystems. We show that random predator-prey taxis can destabilize a homogeneous state and lead to the formation

TBA Leonardo Dagdug (UAM, Mexico)    

TBA Léo Touzo (University of Chicago)    

TBA Pratik Nandy (Vrije Universiteit Brussel & International Solvay Institutes, Belgium)    

AI-Driven Monte Carlo Simulations with Learned Energy Surrogates: Uncertainty Quantification and Energy-Based Regularization Dimitrios Tzivrailis   Lieu de la soutenance : Centre CEA PARIS-SACLAY. Digiteo. 91190 Gif-sur-Yvette. salle Amphithéâtre de DIGITEO   Markov Chain Monte Carlo (MCMC) methods are the standard tool for estimating thermodynamic observables in statistical physics and computational chemistry, but their cost

TBA Félix Rose (LPTM, Cergy-Pontoise)