{
  "annotation_id": "3cf9b589-47ee-4926-8dfc-a8ec772802f2",
  "date_created": "2026-03-02T18:01:49.381000Z",
  "date_modified": "2026-03-02T18:01:49.381000Z",
  "file_hash": "ef178793bcb8c950077598c93ee99172e45f70aaeae681e09d9d1efb12ec02e2",
  "private": false,
  "record": {
    "abstract": "With the help of quantum mechanics one can formulate a model of associative\nmemory with optimal storage capacity. I generalize this model by introducing a\nparameter playing the role of an effective temperature. The corresponding\nthermodynamics provides criteria to tune the efficiency of quantum pattern\nrecognition. I show that the associative memory undergoes a phase transition\nfrom a disordered high-temperature phase with no correlation between input and\noutput to an ordered, low-temperature phase with minimal input-output Hamming\ndistance.",
    "arxiv_id": "quant-ph/0204115",
    "authors": [
      "Carlo A. Trugenberger"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1103/PhysRevLett.89.277903",
    "title": "Phase Transitions in Quantum Pattern Recognition",
    "url": "https://arxiv.org/abs/quant-ph/0204115"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "4a07afa4-28ab-4a7a-9a94-2d2340d2d597",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}