{
  "annotation_id": "d45068c9-163f-4305-b5e8-faf6e8f5ef13",
  "date_created": "2026-03-02T18:02:47.982000Z",
  "date_modified": "2026-03-02T18:02:47.982000Z",
  "file_hash": "77a37cf7e6379241f248d844ac1658a0eb0f92a31b367d1aa03d68c52a98c02d",
  "private": false,
  "record": {
    "abstract": "We provide evidence that quantum mechanics can be interpreted as a rational\nalgorithm for finding the least complex description for the correlations in the\noutputs of sensors in a large array. In particular, by comparing the\nself-organization approach to solving the Traveling Salesman Problem with a\nsolution based on taking the classical limit of a Feynman path integral, we are\nled to a connection between the quantum mechanics of motion in a magnetic field\nand self-organized information fusion.",
    "arxiv_id": "quant-ph/9912019",
    "authors": [
      "George Chapline"
    ],
    "categories": [
      "quant-ph"
    ],
    "title": "Quantum Mechanics as Information Fusion",
    "url": "https://arxiv.org/abs/quant-ph/9912019"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "27d50b29-06e1-44d4-997e-6dd0164b4b43",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}