{
  "annotation_id": "ef0548c9-f1c7-4d0e-b66e-53c688f9782c",
  "date_created": "2026-03-02T18:02:07.049000Z",
  "date_modified": "2026-03-02T18:02:07.049000Z",
  "file_hash": "08e9704abbf3f7c95b37282bd823ab9ddda44196dfa2ba15229928783f712919",
  "private": false,
  "record": {
    "abstract": "We are concerned with catalyst-assisted probabilistic entanglement\ntransformations. A necessary and sufficient condition is presented under which\nthere exist partial catalysts that can increase the maximal transforming\nprobability of a given entanglement transformation. We also design an algorithm\nwhich leads to an efficient method for finding the most economical partial\ncatalysts with minimal dimension. The mathematical structure of\ncatalyst-assisted probabilistic transformation is carefully investigated.",
    "arxiv_id": "quant-ph/0404154",
    "authors": [
      "Yuan Feng",
      "Runyao Duan",
      "Mingsheng Ying"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1109/TIT.2004.842574",
    "journal_ref": "IEEE Trans. Inform. Theory, Vol. 51, No. 3, pp. 1090-1101, Mar.\n  (2005)",
    "title": "Catalyst-assisted Probabilistic Entanglement Transformation",
    "url": "https://arxiv.org/abs/quant-ph/0404154"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b66e756b-d0c6-4344-bdad-f2ff11e1ca16",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}