{
  "annotation_id": "27446c87-a034-4bd4-91ad-58dcd69a9c66",
  "date_created": "2026-03-02T18:01:56.619000Z",
  "date_modified": "2026-03-02T18:01:56.619000Z",
  "file_hash": "98373683e81b094984037af6ec1d08b4af3a329289acc827cf3b078ae7c2fd1a",
  "private": false,
  "record": {
    "abstract": "A simulated Hopfield-type neural-net-like model, which is realizable using\nquantum holography, is proposed for quantum associative memory and pattern\nrecognition.",
    "arxiv_id": "quant-ph/0303092",
    "authors": [
      "Mitja Perus",
      "Horst Bischof"
    ],
    "categories": [
      "quant-ph"
    ],
    "journal_ref": "In: K. Chen et al. (eds.): Proceedings 7th Joint Conf. Information\n  Sciences 2003, Cary, NC, USA; pp. 1536-9. Publ. by JCIS / Association for\n  Intelligent Machinery.",
    "title": "Quantum-wave pattern recognition: From simulations towards   implementation",
    "url": "https://arxiv.org/abs/quant-ph/0303092"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5f079182-14c9-453c-b33d-f60c30a0e08a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}