{
  "annotation_id": "fe98f1c4-c7f8-4392-8ce1-ed33e7d7bfdb",
  "date_created": "2026-03-02T18:01:56.256000Z",
  "date_modified": "2026-03-02T18:01:56.256000Z",
  "file_hash": "45360f13f5d8c25e5e73ec3de080e52d8fe17de6e65c6d529158d6ad097cc4cd",
  "private": false,
  "record": {
    "abstract": "We report the realization of a nuclear magnetic resonance computer with three\nquantum bits that simulates an adiabatic quantum optimization algorithm.\nAdiabatic quantum algorithms offer new insight into how quantum resources can\nbe used to solve hard problems. This experiment uses a particularly well suited\nthree quantum bit molecule and was made possible by introducing a technique\nthat encodes general instances of the given optimization problem into an easily\napplicable Hamiltonian. Our results indicate an optimal run time of the\nadiabatic algorithm that agrees well with the prediction of a simple\ndecoherence model.",
    "arxiv_id": "quant-ph/0302057",
    "authors": [
      "Matthias Steffen",
      "Wim van Dam",
      "Tad Hogg",
      "Greg Breyta",
      "Isaac Chuang"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1103/PhysRevLett.90.067903",
    "journal_ref": "Physical Review Letters, Volume 90, Number 6, Article 067903\n  (2003)",
    "title": "Experimental implementation of an adiabatic quantum optimization   algorithm",
    "url": "https://arxiv.org/abs/quant-ph/0302057"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0d0d7cd0-d864-4e67-bf1b-9bf3d2222129",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}