2023
DOI: 10.1021/acs.jctc.3c00654
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Expanding the Design Space of Constraints in Auxiliary-Field Quantum Monte Carlo

John L. Weber,
Hung Vuong,
Richard A. Friesner
et al.

Abstract: We formulate and characterize a new constraint for auxiliary-field quantum Monte Carlo (AFQMC) applicable for general fermionic systems, which allows for the accumulation of phase in the random walk but disallows walkers with a magnitude of phase greater than π with respect to the trial wave function. For short imaginary times, before walkers accumulate sizable phase values, this approach is equivalent to exact free projection, allowing one to observe the accumulation of bias associated with the constraint and… Show more

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Cited by 3 publications
(6 citation statements)
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“…Similar to previous studies, 42 the imaginary time step for the AFQMC propagation was 0.005 Ha 1− , and the total propagation time was 200 Ha 1− , employing the "comb" algorithm for population control every 20 steps. 43 We used 3312 total walkers, which were initialized with a spinrestricted HF determinant.…”
Section: Methodsmentioning
confidence: 99%
“…Similar to previous studies, 42 the imaginary time step for the AFQMC propagation was 0.005 Ha 1− , and the total propagation time was 200 Ha 1− , employing the "comb" algorithm for population control every 20 steps. 43 We used 3312 total walkers, which were initialized with a spinrestricted HF determinant.…”
Section: Methodsmentioning
confidence: 99%
“…We investigated modifications to the phaseless approximation that significantly reduce the overcorrelation issues frequently encountered in ph-AFQMC, but they did not demonstrate systematic improvement compared to the standard phaseless approximation . However, the phaseless errors can be systematically reduced by improving the trial wave functions ,, or by release constraint techniques. , …”
Section: Theoretical Backgroundmentioning
confidence: 99%
“… 69 However, the phaseless errors can be systematically reduced by improving the trial wave functions 84 , 85 , 104 or by release constraint techniques. 86 , 87 …”
Section: Theoretical Backgroundmentioning
confidence: 99%
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