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Will be mostly based on arXiv:2412.12248 …

Abstract In this talk, I will present an overview of the study of the modulated electron gas in 2 dimensions using Neural Quantum States. The work is based on the Multi-Planewave Message-Passing Neural Quantum State (MP2NQS), an accurate wavefunction …

Abstract I will present how fermionic NQS can be extended to capture the real-time evolution [1] and thermal states [2] of fermions. I will demonstrate how to do this in both first and second quantization and lay out a path towards other ensembles. …

Abstract I will present a variational Monte Carlo framework that combines neural-network quantum states with the Lorentz integral transform to compute the dynamical properties of self-bound quantum many-body systems in continuous Hilbert spaces. While …

Abstract We present a dynamical mean field theory (DMFT) solver based on neural quantum states (NQS). NQS are an unbiased variational ground state ansatz, that leverage the power of neural networks to capture long range correlations on complicated graph …

Abstract One of the most important challenges in condensed matter physics is to understand how superconductivity is stabilized under realistic microscopic interactions. I will discuss some progress we've made on understanding pairing in the paradigmatic …

Abstract Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireferential character of the electronic structure in dissociating species. Multireferential methods in particular suffer from large …

Documents and media Download poster Lecture by Chloé Santoro, winner of the Collège de France Award 2025 for young researchers. Abstract After some initial experiments in the 1980s, the last fifteen years have seen the development of political systems …