3 citations · 3 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2024
Neural network-based nodal structures optimization for interacting fermionic systems
William Freitas, B. Abreu, S. A. Vitiello
Simulating strongly correlated fermionic systems remains a fundamental challenge in quantum physics, largely due to the sign problem in quantum Monte Carlo (QMC) methods. We presen…
physics.atm-clus2023★ 3 cited
Synergy between deep neural networks and the variational Monte Carlo method for small clusters
William Freitas, S. A. Vitiello
We introduce a neural network-based approach for modeling wave functions that satisfy Bose-Einstein statistics. Applying this model to small clusters (with N ranging from…