{
  "annotation_id": "83c289cc-b243-4017-ae42-0e3ca48a20f6",
  "date_created": "2026-03-02T18:02:23.779000Z",
  "date_modified": "2026-03-02T18:02:23.779000Z",
  "file_hash": "4c1844a8742fabe0e0e29c2d2d2ef13db4948af86d9775edbdb384f5114e99a3",
  "private": false,
  "record": {
    "abstract": "We study the relation between the acquisition and analysis of data and\nquantum theory using a probabilistic and deterministic model for photon\npolarizers. We introduce criteria for efficient processing of data and then use\nthese criteria to demonstrate that efficient processing of the data contained\nin single events is equivalent to the observation that Malus\u0027 law holds. A\nstrictly deterministic process that also yields Malus\u0027 law is analyzed in\ndetail. We present a performance analysis of the probabilistic and\ndeterministic model of the photon polarizer. The latter is an adaptive\ndynamical system that has primitive learning capabilities. This additional\nfeature has recently been shown to be sufficient to perform event-by-event\nsimulations of interference phenomena, without using concepts of wave\nmechanics. We illustrate this by presenting results for a system of two chained\nMach-Zehnder interferometers, suggesting that systems that perform efficient\ndata processing and have learning capability are able to exhibit behavior that\nis usually attributed to quantum systems only.",
    "arxiv_id": "quant-ph/0512233",
    "authors": [
      "H. De Raedt",
      "K. De Raedt",
      "K. Michielsen",
      "S. Miyashita"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1016/j.cpc.2005.12.013",
    "title": "Efficient data processing and quantum phenomena: Single-particle systems",
    "url": "https://arxiv.org/abs/quant-ph/0512233"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f6c6d9df-9db7-4abe-a259-049dfb21c26e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}