{
  "annotation_id": "e96738cf-61de-45a6-9252-57b6325e6afd",
  "date_created": "2026-03-02T18:01:56.253000Z",
  "date_modified": "2026-03-02T18:01:56.253000Z",
  "file_hash": "71816dcef4012c80061bbf5c47f5e0357f92af0b8d410dac58002ca5b13331e0",
  "private": false,
  "record": {
    "abstract": "We describe a universal information compression scheme that compresses any\npure quantum i.i.d. source asymptotically to its von Neumann entropy, with no\nprior knowledge of the structure of the source. We introduce a diagonalisation\nprocedure that enables any classical compression algorithm to be utilised in a\nquantum context. Our scheme is then based on the corresponding quantum\ntranslation of the classical Lempel-Ziv algorithm. Our methods lead to a\nconceptually simple way of estimating the entropy of a source in terms of the\nmeasurement of an associated length parameter while maintaining high fidelity\nfor long blocks. As a by-product we also estimate the eigenbasis of the source.\nSince our scheme is based on the Lempel-Ziv method, it can be applied also to\ntarget sequences that are not i.i.d.",
    "arxiv_id": "quant-ph/0210196",
    "authors": [
      "Richard Jozsa",
      "Stuart Presnell"
    ],
    "categories": [
      "quant-ph"
    ],
    "title": "Universal quantum information compression and degrees of prior knowledge",
    "url": "https://arxiv.org/abs/quant-ph/0210196"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3a99bfd7-d6c4-4509-9aed-a21a74f4fd09",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}