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physics.comp-ph2026
Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo
Jan Kessler, Thomas D. Kühne
Neural-network quantum states offer a flexible route to compact many-electron wave functions, but their practical accuracy depends strongly on how fermionic antisymmetry, electron…
physics.comp-ph2019★ 24 cited
Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo
Jan Kessler, Francesco Calcavecchia, Thomas D. Kühne
Inspired by the universal approximation theorem and widespread adoption of artificial neural network techniques in a diversity of fields, we propose feed-forward neural networks as…