233 citations · 464 across the 18 of their papers we have counts for
5 papers · 1 filter
Preparing Schrödinger cat states in a microwave cavity using a neural network
Hector Hutin, Pavlo Bilous, Chengzhi Ye +8
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting ch…
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 approach to running high-precision atomic computations
Pavlo Bilous, Charles Cheung, Marianna Safronova
Modern applications of atomic physics, including the determination of frequency standards, and the analysis of astrophysical spectra, require prediction of atomic properties with e…
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…