{
  "annotation_id": "9a5bed70-5ecf-4662-8ece-33ea8b501808",
  "date_created": "2026-03-02T18:01:10.871000Z",
  "date_modified": "2026-03-02T18:01:10.871000Z",
  "file_hash": "27ee81430224b4f52c3f68524172b09ac0b981bbaee63846cf4d1ebee5ae9399",
  "private": false,
  "record": {
    "abstract": "This paper investigates the impact of control field noise on the optimal\nmanipulation of quantum dynamics. Simulations are performed on several\nmultilevel quantum systems with the goal of population transfer in the presence\nof significant control noise. The noise enters as run-to-run variations in the\ncontrol amplitude and phase with the observation being an ensemble average over\nmany runs as is commonly done in the laboratory. A genetic algorithm with an\nimproved elitism operator is used to find the optimal field that either fights\nagainst or cooperates with control field noise. When seeking a high control\nyield it is possible to find fields that successfully fight with the noise\nwhile attaining good quality stable results. When seeking modest control\nyields, fields can be found which are optimally shaped to cooperate with the\nnoise and thereby drive the dynamics more efficiently. In general, noise\nreduces the coherence of the dynamics, but the results indicate that population\ntransfer objectives can be met by appropriately either fighting or cooperating\nwith noise, even when it is intense.",
    "arxiv_id": "physics/0606169",
    "authors": [
      "Feng Shuang",
      "Herschel Rabitz"
    ],
    "categories": [
      "physics.chem-ph"
    ],
    "doi": "10.1063/1.1799591",
    "journal_ref": "J.Chem.Phys, 121, 9270(2004)",
    "title": "Cooperating or Fighting with Control Noise in the Optimal Manipulation   of Quantum Dynamics",
    "url": "https://arxiv.org/abs/physics/0606169"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b7d183f6-8485-45e0-9c45-7242442a8c17",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}