{
  "annotation_id": "16ca3f74-4c66-497d-93ab-187eca69d539",
  "date_created": "2026-03-02T18:01:45.523000Z",
  "date_modified": "2026-03-02T18:01:45.523000Z",
  "file_hash": "34865efe684169e20016ecaea2a905c3273e8d9319e695a0095ae92007cda726",
  "private": false,
  "record": {
    "abstract": "We present here algorithmic cooling (via polarization-heat-bath)- a powerful\nmethod for obtaining a large number of highly polarized spins in liquid\nnuclear-spin systems at finite temperature. Given that spin-half states\nrepresent (quantum) bits, algorithmic cooling cleans dirty bits beyond the\nShannon\u0027s bound on data compression, by employing a set of rapidly\nthermal-relaxing bits. Such auxiliary bits could be implemented using spins\nthat rapidly get into thermal equilibrium with the environment, e.g., electron\nspins.\n  Cooling spins to a very low temperature without cooling the environment could\nlead to a breakthrough in nuclear magnetic resonance experiments, and our\n``spin-refrigerating\u0027\u0027 method suggests that this is possible.\n  The scaling of NMR ensemble computers is probably the main obstacle to\nbuilding useful quantum computing devices, and our spin-refrigerating method\nsuggests that this problem can be resolved.",
    "arxiv_id": "quant-ph/0106093",
    "authors": [
      "P. Oscar Boykin",
      "Tal Mor",
      "Vwani Roychowdhury",
      "Farrokh Vatan",
      "Rutger Vrijen"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1073/pnas.241641898",
    "title": "Algorithmic Cooling and Scalable NMR Quantum Computers",
    "url": "https://arxiv.org/abs/quant-ph/0106093"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "aaac107b-8661-4715-8b92-c1ffcedb9296",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}