{
  "annotation_id": "6d3e8017-9886-4cbc-ab88-e8f81b3decdc",
  "date_created": "2026-03-02T18:02:19.686000Z",
  "date_modified": "2026-03-02T18:02:19.686000Z",
  "file_hash": "e7fe1e660750efb392aaaa965b151f12e57800b9c24f54dc8f0580d8f738fc50",
  "private": false,
  "record": {
    "abstract": "The pixel values of an image can be casted into a real ket of a Hilbert space\nusing an appropriate block structured addressing. The resulting state can then\nbe rewritten in terms of its matrix product state representation in such a way\nthat quantum entanglement corresponds to classical correlations between\ndifferent coarse-grained textures. A truncation of the MPS representation is\ntantamount to a compression of the original image. The resulting algorithm can\nbe improved adding a discrete Fourier transform preprocessing and a further\nentropic lossless compression.",
    "arxiv_id": "quant-ph/0510031",
    "authors": [
      "Jose I. Latorre"
    ],
    "categories": [
      "quant-ph",
      "cs.MM"
    ],
    "title": "Image compression and entanglement",
    "url": "https://arxiv.org/abs/quant-ph/0510031"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "39285e35-bec6-4439-9107-e38d3a388ae1",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}