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Résumé 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 ansatz …

Résumé 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. …

Résumé 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 …

Résumé 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 …

Résumé 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 …

Résumé 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 computational …

Résumé La dépolymérisation (c'est-à-dire le raccourcissement progressif) de grosses molécules peut être modélisée par des équations discrètes, de type Becker-Döring, ou par des équations continues (Lifshitz-Slyozov). Dans de nombreuses applications, la …

Résumé Main-belt asteroids originally formed in a dynamically quiet disk, but their orbits were later stirred by Jupiter's gravity, leading to high-speed collisions. Over the age of the Solar System, dozens of large asteroids have been disrupted by such …