{
  "annotation_id": "22b3300f-69aa-423c-a864-3e67612d467b",
  "date_created": "2026-03-02T18:02:03.370000Z",
  "date_modified": "2026-03-02T18:02:03.370000Z",
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  "record": {
    "abstract": "I propose an iterative expectation maximization algorithm for reconstructing\na quantum optical ensemble from a set of balanced homodyne measurements\nperformed on an optical state. The algorithm applies directly to the acquired\ndata, bypassing the intermediate step of calculating marginal distributions.\nThe advantages of the new method are made manifest by comparing it with the\ntraditional inverse Radon transformation technique.",
    "arxiv_id": "quant-ph/0311097",
    "authors": [
      "A. I. Lvovsky"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1088/1464-4266/6/6/014",
    "journal_ref": "Journal of Optics B: Quantum and Semiclassical Optics 6 (2004)\n  S556--S559",
    "title": "Iterative maximum-likelihood reconstruction in quantum homodyne   tomography",
    "url": "https://arxiv.org/abs/quant-ph/0311097"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d89e016e-12d2-4155-aebf-b763983e39f0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}