{
  "annotation_id": "2b93ff3b-4496-4fe2-ab80-00da8a9bac6a",
  "date_created": "2026-03-02T18:02:16.740000Z",
  "date_modified": "2026-03-02T18:02:16.740000Z",
  "file_hash": "4d5ff6ad5b4f24f3903ff1359cdd5544aacaf6749d0582f839eb7dbd75592808",
  "private": false,
  "record": {
    "abstract": "A learning algorithm based on state superposition principle is presented. The\nphysical implementation analysis and simulated experiment results show that\nquantum mechanics can give helps in learning for more intelligent robot.",
    "arxiv_id": "quant-ph/0506157",
    "authors": [
      "Dao-Yi Dong",
      "Chun-Lin Chen",
      "Zong-Hai Chen",
      "Chen-Bin Zhang"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1088/0256-307X/23/7/010",
    "journal_ref": "Chinese Physics Letters, 2006,23(7):1691-1694",
    "title": "Quantum mechanics helps in learning for more intelligent robot",
    "url": "https://arxiv.org/abs/quant-ph/0506157"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e81bf4d2-f46f-4118-b0c9-021f96b44308",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}