{
  "annotation_id": "5b70922c-11ec-460c-a75f-b17184b6a3e2",
  "date_created": "2026-03-02T18:02:41.654000Z",
  "date_modified": "2026-03-02T18:02:41.654000Z",
  "file_hash": "22a8430ea6f4fa2aea990ffb424414817d8bb42b2f34cdadeede44baf740e26e",
  "private": false,
  "record": {
    "abstract": "Nuclear magnetic resonance offers an appealing prospect for implementation of\nquantum computers, because of the long coherence times associated with nuclear\nspins, and extensive laboratory experience in manipulating the spins with radio\nfrequency pulses. Existing proposals, however, suffer from a signal-to-noise\nratio that decays exponentially in the number of qubits in the quantum\ncomputer. This places a severe limit on the size of the computations that can\nbe performed by such a computer; estimates of that limit are well within the\nrange in which a conventional computer taking exponentially more steps would\nstill be practical.\n  We give an NMR implementation in which the signal-to-noise ratio depends only\non features of NMR technology, not the size of the computer. This provides a\nmeans for NMR computation techniques to scale to sizes at which the exponential\nspeedup enables quantum computation to solve problems beyond the capabilities\nof classical computers.",
    "arxiv_id": "quant-ph/9804060",
    "authors": [
      "Leonard J. Schulman",
      "Umesh Vazirani"
    ],
    "categories": [
      "quant-ph"
    ],
    "title": "Scalable NMR Quantum Computation",
    "url": "https://arxiv.org/abs/quant-ph/9804060"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bd7dfaa5-5c94-4954-b9ce-949778940e67",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}