{
  "annotation_id": "2fa074a1-2a21-4e19-b07c-d2576fca3903",
  "date_created": "2026-03-02T18:00:39.706000Z",
  "date_modified": "2026-03-02T18:00:39.706000Z",
  "file_hash": "9cef6fe4629d5fdd061faa0bb3ac62c42cb76fc566f89991d6d0dd052b3147b3",
  "private": false,
  "record": {
    "abstract": "We describe and systematically analyze new implementations of the Projection\nOperator Imaginary Time Spectral Evolution (POITSE) method for the Monte Carlo\nevaluation of excited state energies. The POITSE method involves the\ncomputation of a correlation function in imaginary time. Decay of this function\ncontains information about excitation energies, which can be extracted by a\nspectral transform. By incorporating branching processes in the Monte Carlo\npropagation, we compute these correlation functions with significantly reduced\nstatistical noise. Our approach allows for the stable evaluation of small\nenergy differences in situations where the previous POITSE implementation was\nlimited by this noise.",
    "arxiv_id": "physics/0203012",
    "authors": [
      "Patrick Huang",
      "Alexandra Viel",
      "K. Birgitta Whaley"
    ],
    "categories": [
      "physics.comp-ph",
      "physics.chem-ph"
    ],
    "journal_ref": "P. Huang, A. Viel, and K. B. Whaley, in \"Recent Advances in\n  Quantum Monte Carlo Methods, Part II\", edited by W. A. Lester, Jr., S. M.\n  Rothstein, and S. Tanaka (World Scientific, Singapore, 2002), p. 111",
    "title": "Efficient implementation of the Projection Operator Imaginary Time   Spectral Evolution (POITSE) method for excited states",
    "url": "https://arxiv.org/abs/physics/0203012"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3794b3c5-25a5-4cb3-bf1d-a8446ed806ae",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}