233 citations · 464 across the 18 of their papers we have counts for
18 papers
Natural-Orbital-Based Neural Network Configuration Interaction
Louis Thirion, Yorick L. A. Schmerwitz, Max Kroesbergen +5
Selective configuration interaction methods approximate correlated molecular ground- and excited states by considering only the most relevant Slater determinants in the expansion.…
Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States
Gianluca Levi, Max Kroesbergen, Louis Thirion +5
Rydberg excited states of molecules pose a challenge for electronic structure calculations because of their highly diffuse electron distribution. Even large and elaborate atomic ba…
A neural-network-based Python package for performing large-scale atomic CI using pCI and other high-performance atomic codes
Pavlo Bilous, Charles Cheung, Marianna Safronova
Modern atomic physics applications in science and technology pose ever higher demands on the precision of computations of properties of atoms and ions. Especially challenging is th…
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…