{
  "abstract": "Fisher-information-based optimization of programmable optical front ends in situ generally requires a response model or parameter-labeled measurements. We show that natural parameter fluctuations can instead provide the training signal. We construct proxies for the Fisher information (FI) of one parameter and the prior-weighted FI spectrum of multiple parameters from measured covariances after subtracting conditional detection noise, assuming locally affine responses. We use simulated photon counts from two incoherent point sources to train a mode sorter that approaches the quantum limit for separation and the Nagaoka--Hayashi single-copy bound for joint centroid--separation estimation. We demonstrate count-only updates that require no instrument response model and achieve performance comparable to model-based gradients. Our results provide a route to adaptive optical measurements without controlled parameter scans.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.24915",
  "author_total": 2,
  "authors": [
    {
      "name": "Abhinav Sinha"
    },
    {
      "name": "Kai Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3kwdszwj9wraq.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.24915",
  "fulltext_url": null,
  "id": "3kwdszwj9wraq",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.24915",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.optics"
    ],
    [
      "arxiv",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Quantum Information and Cryptography"
    ]
  ],
  "openalex": "W7214006160",
  "pdf_url": "https://arxiv.org/pdf/2609.24915",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-21",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3kwdszwj9wraq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:19Z",
      "native_id": "2609.24915",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.24915"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.optics",
      "subfield": "optics-photonics"
    },
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Fisher-information training of optical sensing front ends from natural fluctuations",
  "title_text": "Fisher-information training of optical sensing front ends from natural fluctuations",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:19Z",
  "url": "https://research.draconitic.com/paper/3kwdszwj9wraq",
  "venue": "arXiv",
  "versions": []
}