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Taming the Sign Problem in Auxiliary-Field Quantum Monte Carlo Using Accurate Wave Functions

Ankit Mahajan, Sandeep Sharma

2021Journal of Chemical Theory and Computation42 citationsDOI

Abstract

We explore different ways of incorporating accurate trial wave functions into free projection auxiliary-field quantum Monte Carlo (fp-AFQMC). States employed include coupled-cluster singles and doubles, multi-Slater, and symmetry-projected mean-field wave functions. We adapt a recently proposed fast multi-Slater local energy evaluation algorithm for fp-AFQMC, making the use of long expansions from selected configuration interaction methods feasible. We demonstrate how these wave functions serve to mitigate the sign problem and accelerate convergence in quantum chemical problems, allowing the application of fp-AFQMC to systems of substantial sizes. Our calculations on the widely studied model Cu2O22+ system show that many previously reported isomerization energies differ substantially from the near-exact fp-AFQMC value.

Topics & Concepts

Quantum Monte CarloWave functionMonte Carlo methodSign (mathematics)Statistical physicsComputer scienceField (mathematics)Slater determinantQuantumProjection (relational algebra)Auxiliary fieldConvergence (economics)PhysicsAlgorithmQuantum mechanicsMathematicsStatisticsMathematical analysisEconomic growthAtomic orbitalEconomicsPure mathematicsElectronAdvanced Chemical Physics StudiesMachine Learning in Materials SciencePhysics of Superconductivity and Magnetism
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