15 citations · 29 across the 6 of their papers we have counts for
3 papers · 1 filter
SOLAX: A Python solver for fermionic quantum systems with neural network support
Louis Thirion, Philipp Hansmann, Pavlo Bilous
Numerical modeling of fermionic many-body quantum systems presents similar challenges across various research domains, necessitating universal tools, including state-of-the-art mac…
A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure
Yorick L. A. Schmerwitz, Louis Thirion, Gianluca Levi +4
By combining Hartree-Fock with a neural-network-supported quantum-cluster solver proposed recently in the context of solid-state lattice models, we formulate a scheme for selective…
Neural-network-supported basis optimizer for the configuration interaction problem in quantum many-body clusters: Feasibility study and numerical proof
Pavlo Bilous, Louis Thirion, Henri Menke +3
A deep-learning approach to optimize the selection of Slater determinants in configuration interaction calculations for condensed-matter quantum many-body systems is developed. We…