{
  "annotation_id": "20e05fc7-7bd0-4a9b-aa1c-300620c00333",
  "date_created": "2026-03-02T18:01:38.614000Z",
  "date_modified": "2026-03-02T18:01:38.614000Z",
  "file_hash": "63182765711dbac3b9f68d320371ac30a9d588c29471789e1781723431c5d6ae",
  "private": false,
  "record": {
    "abstract": "We have constructed an automated learning apparatus to control quantum\nsystems. By directing intense shaped ultrafast laser pulses into a variety of\nsamples and using a measurement of the system as a feedback signal, we are able\nto reshape the laser pulses to direct the system into a desired state. The\nfeedback signal is the input to an adaptive learning algorithm. This algorithm\nprograms a computer-controlled, acousto-optic modulator pulse shaper. The\nlearning algorithm generates new shaped laser pulses based on the success of\nprevious pulses in achieving a predetermined goal.",
    "arxiv_id": "quant-ph/0008029",
    "authors": [
      "B. J. Pearson",
      "J. L. White",
      "T. C. Weinacht",
      "P. H. Bucksbaum"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1103/PhysRevA.63.063412",
    "journal_ref": "Phys. Rev. A, 63 (2001) 063412",
    "title": "Coherent control using adaptive learning algorithms",
    "url": "https://arxiv.org/abs/quant-ph/0008029"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bf371495-269e-451c-b42c-015c075b9280",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}