{
  "annotation_id": "f912aeb8-7007-4706-bf4a-d94c928f2397",
  "date_created": "2026-03-02T18:01:59.536000Z",
  "date_modified": "2026-03-02T18:01:59.536000Z",
  "file_hash": "5b1987d048684ace9d0eeb637383762e2841c51e26e9fab538bdeef06410f737",
  "private": false,
  "record": {
    "abstract": "Recent developments in the mathematical foundations of quantum mechanics have\nbrought the theory closer to that of classical probability and statistics. On\nthe other hand, the unique character of quantum physics sets many of the\nquestions addressed apart from those met classically in stochastics.\nFurthermore, concurrent advances in experimental techniques and in the theory\nof quantum computation have led to a strong interest in questions of quantum\ninformation, in particular in the sense of the amount of information about\nunknown parameters in given observational data or accessible through various\npossible types of measurements. This scenery is outlined (with an audience of\nstatisticians and probabilists in mind).",
    "arxiv_id": "quant-ph/0307189",
    "authors": [
      "O. E. Barndorff-Nielsen",
      "R. D. Gill",
      "P. E. Jupp"
    ],
    "categories": [
      "quant-ph"
    ],
    "title": "On Quantum Statistical Inference, I",
    "url": "https://arxiv.org/abs/quant-ph/0307189"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "70720329-a798-4c00-8b2f-3624245aa7b5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}