Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems
arXiv:2211.10824 · doi:10.1021/acs.jctc.3c00038
Abstract
We propose a quantum Monte Carlo approach to solve the ground state many-body Schrodinger equation for the electronic ground state. The method combines optimization from variational Monte Carlo and propagation from auxiliary field quantum Monte Carlo, in a way that significantly alleviates the sign problem. In application to molecular systems, we obtain highly accurate results for configurations dominated by either dynamic or static electronic correlation.
References in corpus (9)
- A Quantum Approximate Optimization Algorithm
- Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations
- Heat-bath Configuration Interaction: An efficient selected CI algorithm inspired by heat-bath sampling
- Semistochastic Heat-bath Configuration Interaction method: selected configuration interaction with semistochastic perturbation theory
- The Ground State Electronic Energy of Benzene
- Superconductivity and antiferromagnetism in the two-dimensional Hubbard model: a variational study
- Bond breaking with auxiliary-field quantum Monte Carlo
- Crossover from weakly to strongly correlated regions in the two-dimensional Hubbard model -- Off-diagonal wave function Monte Carlo studies of Hubbard model II --
- The performance of phaseless auxiliary-field quantum Monte Carlo on the ground state electronic energy of benzene
Cited by in corpus (7)
- Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
- Improved modularity and new features in ipie: Toward even larger AFQMC calculations on CPUs and GPUs at zero and finite temperatures
- Self-Refinement of Auxiliary-Field Quantum Monte Carlo via Non-Orthogonal Configuration Interaction
- Automatic Order Detection and Restoration Through Systematically Improvable Variational Wave Functions
- Boosting quantum Monte Carlo and alleviating sign problem by Gutzwiller projection
- Implementing advanced trial wave functions in fermion quantum Monte Carlo via stochastic sampling
- Enhancing quantum computations with the synergy of auxiliary field quantum Monte Carlo and computational basis tomography