A direct subspace optimization formalism is developed and applied via the Bridge method to mitigate discretization errors in variational Monte Carlo dynamics.
System- atic improvement of neural network quan- tum states using a lanczos recursion
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Variational subspace methods and application to improving variational Monte Carlo dynamics
A direct subspace optimization formalism is developed and applied via the Bridge method to mitigate discretization errors in variational Monte Carlo dynamics.