Finite-temperature properties of strongly correlated systems via variational Monte Carlo
Finite-temperature properties of strongly correlated systems via variational Monte Carlo
Variational methods are a common approach for computing properties of ground states but have not yet found analogous success in finite-temperature calculations. In this work, we develop a new variational finite-temperature algorithm (VAFT), which combines ideas from minimally entangled typical thermal states (METTS), variational Monte Carlo (VMC) optimization, and path …