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Communication: An efficient and accurate perturbative correction to initiator full configuration interaction quantum Monte Carlo.

Nick S Blunt
Published in: The Journal of chemical physics (2018)
We present a perturbative correction within initiator full configuration interaction quantum Monte Carlo (i-FCIQMC). In the existing i-FCIQMC algorithm, a significant number of spawned walkers are discarded due to the initiator criteria. Here we show that these discarded walkers have a form that allows the calculation of a second-order Epstein-Nesbet correction, which may be accumulated in a trivial and inexpensive manner, yet substantially improves i-FCIQMC results. The correction is applied to the Hubbard model and the uniform electron gas and molecular systems.
Keyphrases
  • monte carlo
  • deep learning
  • molecular dynamics
  • neural network
  • energy transfer