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Cited by 192

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Solving the fermion sign problem in quantum Monte Carlo simulations by Majorana representation

Open access
Li, Zi-Xiang, Jiang, Yi-Fan, Yao, Hong·2015·Physical Review B

Abstract

Much attention has been devoted recently to identify possible ways to overcome the notorious sign problem encountered in quantum Monte Carlo simulations. The authors of this paper propose a new method based on Majorana representation of complex fermions, which they dub Majorana Quantum Monte Carlo (MQMC). They find a class of SU(N) fermionic models which are sign-free in MQMC but cannot be solved with other available methods.

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Metadata

Authors
Li, Z.-X., Jiang, Y.-F., & Yao, H.
Venue
Physical Review B
Published
2015-06-30
Volume
91
Issue
24
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W1951679529
Cited by
192
References
2
FWCI
12.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Solving the fermion sign problem in quantum Monte Carlo simulations by Majorana representation. https://app.cochat.ai/papers/10.1103/physrevb.91.241117
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Li, Z.-X., Jiang, Y.-F., & Yao, H. (2015). Solving the fermion sign problem in quantum Monte Carlo simulations by Majorana representation. Physical Review B. https://doi.org/10.1103/physrevb.91.241117

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.