Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo

19 June 2021

Papers citing "Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo"

5 / 5 papers shown

Title
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions Gil Goldshlager Nilin Abrahamsen Lin Lin 47 9 0 18 Jan 2024
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables Huan Zhang R. Webber M. Lindsey Timothy C. Berkelbach J. Weare 15 2 0 11 Nov 2022
Positive-definite parametrization of mixed quantum states with deep neural networks F. Vicentini R. Rossi Giuseppe Carleo 11 14 0 27 Jun 2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo J. Stokes Brian Chen S. Veerapaneni 12 6 0 28 Mar 2022
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 149 446 0 16 Sep 2019