2019
DOI: 10.1063/1.5114703
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Evaluating two-electron-repulsion integrals over arbitrary orbitals using zero variance Monte Carlo: Application to full configuration interaction calculations with Slater-type orbitals

Abstract: A Monte Carlo method for evaluating multi-center two-electron-repulsion integrals over any type of orbitals (Slater, Sturmian, finite-range, numerical, etc.) is presented. The approach is based on a simple and universal (orbital-independent) gaussian sampling of the two-electron configuration space and on the use of efficient zero-variance Monte Carlo estimators. Quite remarkably, it is shown that the high level of accuracy required on two-electron integrals to make Hartree-Fock (HF) and configuration interac… Show more

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Cited by 11 publications
(5 citation statements)
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“…In order to reduce the fluctuations on the dressing elements, we will present two improved estimators based on the so-called control variates technique. , The general idea is to combine the estimator of eq with a correlated function in the 3 N -dimensional space of which the integral can be evaluated in a deterministic way.…”
Section: Using the Transcorrelated Formalism To Approximate Vmcmentioning
confidence: 99%
“…In order to reduce the fluctuations on the dressing elements, we will present two improved estimators based on the so-called control variates technique. , The general idea is to combine the estimator of eq with a correlated function in the 3 N -dimensional space of which the integral can be evaluated in a deterministic way.…”
Section: Using the Transcorrelated Formalism To Approximate Vmcmentioning
confidence: 99%
“…In contrast to QMC, these methods have no bias, ECP, or Fermion sign problems (at second order at least), and can directly compute energy differences (such as correlation correction, ,, F12 correction, ,, electron binding energies, , or quasiparticle energy bands). Therefore, this method is an example of the burgeoning class of stochastic ab initio electronic structure methods. …”
Section: Introductionmentioning
confidence: 99%
“…In order to reduce the fluctuations on the dressing elements, we will present two improved estimators based on the socalled control variates technique 65,66 . The general idea is to combine the estimator of Eq (26) with a correlated function in the 3N-dimensional space of which the integral can be evaluated in a deterministic way.…”
Section: Naive Estimatorsmentioning
confidence: 99%