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physics.comp-ph2026
Introduction to the artificial neural network-based variational Monte Carlo method
William Freitas
The construction of trial wave functions based on neural networks combined with the variational Monte Carlo method is discussed. The mathematical formulation for representing quant…
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…