{
  "annotation_id": "bc910616-dca8-4aac-bd8f-5f4d421604ca",
  "date_created": "2026-03-02T18:00:46.481000Z",
  "date_modified": "2026-03-02T18:00:46.481000Z",
  "file_hash": "73ff497f961adb8c9eb9e46681d6cfa8391be8afe60b70db706579e1642f7631",
  "private": false,
  "record": {
    "abstract": "Since its first description fifty years ago, the Metropolis Monte Carlo\nmethod has been used in a variety of different ways for the simulation of\ncontinuum quantum many-body systems. This paper will consider some of the\ngeneralizations of the Metropolis algorithm employed in quantum Monte Carlo:\nVariational Monte Carlo, dynamical methods for projector monte carlo ({\\it\ni.e.} diffusion Monte Carlo with rejection), multilevel sampling in path\nintegral Monte Carlo, the sampling of permutations, cluster methods for lattice\nmodels, the penalty method for coupled electron-ionic systems and the Bayesian\nanalysis of imaginary time correlation functions.",
    "arxiv_id": "physics/0306182",
    "authors": [
      "D. M. Ceperley"
    ],
    "categories": [
      "physics.comp-ph"
    ],
    "doi": "10.1063/1.1632120",
    "journal_ref": "pgs. 85-98 in The Monte Carlo Method in the Physical Sciences, ed.\n  J. E. Gubernatis, AIP Conference Proceedings, Vol 690, 2003.",
    "title": "Metropolis Methods for Quantum Monte Carlo Simulations",
    "url": "https://arxiv.org/abs/physics/0306182"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "07a0f5ee-bb47-42df-a7ff-6f159502081a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}