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Quantum Monte Carlo/Evidence
Method evidence record

Quantum Monte Carlo

Quantum Monte Carlo (QMC) is a stochastic computational method for computing ground state properties of quantum many-body systems. Combining classical Monte Carlo sampling with quantum mechanics, QMC approaches are among the most accurate methods available for electronic structure and condensed matter physics, achieving sub-percent accuracy for many systems.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Quantum Monte Carlo (QMC)
Taxonomic method record · ml-model / quantum-computing
  • Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092. · DOI 10.1063/1.1699114
  • Reynolds, P. J., Tobochnik, J., Gould, H. (1990). Diffusion quantum Monte Carlo. Computers in Physics, 4, 662–668. · DOI 10.1063/1.4822960
  • Needs, R. J., et al. (2020). Variational and diffusion quantum Monte Carlo calculations with the CASINO code. The Journal of Chemical Physics, 152, 154106. · DOI 10.1063/1.5144288
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyDensity Functional Theorymachine-suggested · Relational suggestion, not evidence.Same method familyHartree-Fock Methodmachine-suggested · Relational suggestion, not evidence.Same method familyPath Integral Monte Carlomachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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