2020
DOI: 10.48550/arxiv.2010.01141
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Mitigating sign problem by automatic differentiation

Zhou-Quan Wan,
Shi-Xin Zhang,
Hong Yao

Abstract: As an intrinsically-unbiased method, quantum Monte Carlo (QMC) is of unique importance in simulating interacting quantum systems. Unfortunately, QMC often suffers from the notorious sign problem. Although generically curing sign problem is shown to be hard (NP-hard), sign problem of a given quantum model may be mitigated (sometimes even cured) by finding better choices of simulation scheme. A universal framework in identifying optimal QMC schemes has been desired. Here, we propose a general framework using aut… Show more

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Cited by 11 publications
(11 citation statements)
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“…9.1 has a much more severe sign problem than the formulation (presented in the same section) where the HS field couples to the z-component of the magnetization. Optimization schemes minimize ∆ have been put forward in [111,112].…”
Section: Reweighting and The Sign Problemmentioning
confidence: 99%
“…9.1 has a much more severe sign problem than the formulation (presented in the same section) where the HS field couples to the z-component of the magnetization. Optimization schemes minimize ∆ have been put forward in [111,112].…”
Section: Reweighting and The Sign Problemmentioning
confidence: 99%
“…The negative sign problem in the QMC approach is formulation dependent and hence can, in principle, be reduced so as to reach relevant energy scales. In fact, this can be seen as an optimization problem over the space of possible path integral formulations [14,15]. Here we adopt a symmetry based strategy, that pins the phase of the action to 0 and π.…”
mentioning
confidence: 99%
“…A large body of literature has been built up around the problem of finding stoquastic [14,15] or nearly stoquastic [16,17] bases for Hamiltonians. The corresponding unitary basis change is said to "cure" the non-stoquastic Hamiltonian.…”
mentioning
confidence: 99%