The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Computational Complexity and Fundamental Limitations to Fermionic Quantum Monte Carlo Simulations
Open accessAbstract
Quantum Monte Carlo simulations, while being efficient for bosons, suffer from the "negative sign problem" when applied to fermions--causing an exponential increase of the computing time with the number of particles. A polynomial time solution to the sign problem is highly desired since it would provide an unbiased and numerically exact method to simulate correlated quantum systems. Here we show that such a solution is almost certainly unattainable by proving that the sign problem is nondeterministic polynomial (NP) hard, implying that a generic solution of the sign problem would also solve all problems in the complexity class NP in polynomial time.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms
Greiner, M., Mandel, O., Esslinger, T., Hänsch, T. W., & Bloch, I. (2002) · Nature · doi:10.1038/415039a · Cited by 5,935
Cited by
Georgescu, I. M., Ashhab, S., & Nori, F. (2014) · Reviews of Modern Physics · doi:10.1103/revmodphys.86.153 · Cited by 2,932
“For some quantum systems, especially fermionic and frustrated systems, the numerical evaluation of the integrals encounters the problem of sampling with non-positive-semidefinite weight functions, which is the so-called sign problem [see, e.g. (Troyer and Wiese, 2005)].”
BackgroundSolving the quantum many-body problem with artificial neural networks
Carleo, G., & Troyer, M. (2017) · Science · doi:10.1126/science.aag2302 · Cited by 2,215
Self-citationQuantum simulations with trapped ions
Blatt, R., & Roos, C. F. (2012) · Nature Physics · doi:10.1038/nphys2252 · Cited by 1,629
Information processing in generalized probabilistic theories
Barrett, J. (2007) · Physical Review A · doi:10.1103/physreva.75.032304 · Cited by 768
Perspectives of quantum annealing: methods and implementations
Hauke, P., Katzgraber, H. G., Lechner, W., Nishimori, H., & Oliver, W. D. (2020) · Reports on Progress in Physics · doi:10.1088/1361-6633/ab85b8 · Cited by 507
Metadata
- Authors
- Troyer, M., & Wiese, U.-J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2005-05-04
- Volume
- 94
- Issue
- 17
- Pages
- 170201-170201
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2017474131
- Cited by
- 1,246
- References
- 2
- FWCI
- 14.77
- Type
- journal article
- Language
- en
- Open access
- green
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