84 citations · 153 across the 6 of their papers we have counts for
3 papers · 1 filter
Transferable Neural Wavefunctions for Solids
Leon Gerard, Michael Scherbela, Halvard Sutterud +2
Deep-Learning-based Variational Monte Carlo (DL-VMC) has recently emerged as a highly accurate approach for finding approximate solutions to the many-electron Schrödinger equation.…
Accurate Computation of Quantum Excited States with Neural Networks
David Pfau, Simon Axelrod, Halvard Sutterud +2
We present a variational Monte Carlo algorithm for estimating the lowest excited states of a quantum system which is a natural generalization of the estimation of ground states. Th…
Discovering Quantum Phase Transitions with Fermionic Neural Networks
G. Cassella, H. Sutterud, S. Azadi +4
Deep neural networks have been extremely successful as highly accurate wave function ansätze for variational Monte Carlo calculations of molecular ground states. We present an exte…