{
  "annotation_id": "580a0498-930b-4faa-ac4c-38522b39c197",
  "date_created": "2026-03-02T18:01:59.127000Z",
  "date_modified": "2026-03-02T18:01:59.127000Z",
  "file_hash": "62d5386ae745156fed06719275845fdf3621ec416f7660fd0c904b5ebf305189",
  "private": false,
  "record": {
    "abstract": "We address the problem related to the extraction of the information in the\nsimulation of complex dynamics quantum computation. Here we present an example\nwhere important information can be extracted efficiently by means of quantum\nsimulations. We show how to extract efficiently the localization length, the\nmean square deviation and the system characteristic frequency. We show how this\nmethods work on a dynamical model, the Sawtooth Map, that is characterized by\nvery different dynamical regimes: from near integrable to fully developed\nchaos; it also exhibits quantum dynamical localization.",
    "arxiv_id": "quant-ph/0307165",
    "authors": [
      "G. Casati",
      "S. Montangero"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1007/978-3-540-40968-7_24",
    "journal_ref": "Lecture Notes in Physics Vol. 633, 341, (Springer, Berlin, 2004).",
    "title": "Measurement and Information Extraction in Complex Dynamics Quantum   Computation",
    "url": "https://arxiv.org/abs/quant-ph/0307165"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3b0845e9-62a7-4688-9ff2-e2cc55c04662",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}