{
  "annotation_id": "4a818752-bd5a-4524-bb08-a88ec37b31d6",
  "date_created": "2026-03-02T18:02:03.312000Z",
  "date_modified": "2026-03-02T18:02:03.312000Z",
  "file_hash": "d9c4f5a58a0eaaee5e0612d0dfb1e76fa56a401b92c32e053b79bf167c5e67f7",
  "private": false,
  "record": {
    "abstract": "This paper proposes quantum image reconstruction. Input-triggered selection\nof an image among many stored ones, and its reconstruction if the input is\noccluded or noisy, has been simulated by a computer program implementable in a\nreal quantum-physical system. It is based on the Hopfield associative net; the\nquantum-wave implementation bases on holography. The main limitations of the\nclassical Hopfield net are much reduced with the new, original --\nquantum-optical -- implementation. Image resolution can be almost arbitrarily\nincreased.",
    "arxiv_id": "quant-ph/0401016",
    "authors": [
      "Mitja Perus",
      "Horst Bischof",
      "Chu Kiong Loo"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1364/AO.43.006134",
    "journal_ref": "An improved version see in: Appl. Opt. 43(33) (2004) 6134-8, (c)\n  by Optical Society of America, Inc.",
    "title": "Quantum-implemented selective reconstruction of high-resolution images",
    "url": "https://arxiv.org/abs/quant-ph/0401016"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ec2ad012-f4d2-44b7-b30d-930537d49ec4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}