Multi-state effective Hamiltonian and size-consistency corrections in stochastic configuration interactions
Seiichiro L. Ten-no

TL;DR
This paper advances stochastic configuration interaction methods by introducing a multi-state effective Hamiltonian approach with size-consistency corrections, enabling efficient and accurate calculation of electronic states in quantum chemistry.
Contribution
It presents a novel state-selective partitioning algorithm for MSQMC and develops size-consistency corrections to improve the initiator approximation accuracy.
Findings
The new algorithm reduces computational cost for multiple electronic states.
Size-consistency corrections significantly recover initiator errors.
Most initiator error stems from truncated CI nature, correctable by proposed methods.
Abstract
Model space quantum Monte Carlo (MSQMC) is an extension of full configuration interaction QMC (FCIQMC) that allows us to calculate quasi-degenerate and excited electronic states by sampling the effective Hamiltonian in the model space. We introduce a novel algorithm based on the state-selective partitioning for the effective Hamiltonian using left eigenvectors to calculate several electronic states simultaneously at much less computational cost than the original MSQMC with the energy dependent partitioning. The sampling of walkers in MSQMC is analyzed in the single reference limit using a stochastic algorithm for higher-order perturbation energies by the analogy of the deterministic case utilizing a full configuration interaction program. We further develop size-consistency corrections of the initiator adaptation (i-MSQMC) in three different ways, i.e. the coupled electron pair…
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