{
  "abstract": "Dephasing can sharpen the activation of a dissipative quantum neuron, but a stationary response does not determine how much input information its output delivers per unit time. For a single qubit with partial-reset updates at rate $ν$, we derive the threshold response bandwidth and the exact local Fisher information rate of the complete record from repeated projective readouts, including their backaction. Near the activation threshold, the rate obeys $\\mathcal R\\leqν(1-s)(1+s)^2/2\\leq16ν/27$, where $s$ is the retained amplitude of each update. For every fixed finite Markovian dephasing rate, optimization over the readout interval and $s$ gives the same supremum, approached at $s=1/3$ with arbitrarily rapid ideal readout. A finite measurement dead time instead selects a finite optimal interval, which we obtain by a dimensionless two-parameter optimization. The ideal bound is saturated by a classical two-state jump process: quantum coherence changes finite-cadence performance but cannot raise the optimized bound. These results separate noise-enhanced activation from the operational information throughput of a quantum neuron and provide a hardware-aware benchmark for finite-time quantum neural processing.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.35076",
  "author_total": 4,
  "authors": [
    {
      "name": "Peng Wang"
    },
    {
      "name": "Yu-Xuan Zhang"
    },
    {
      "name": "Hai-Tao Ding"
    },
    {
      "name": "Leong-Chuan Kwek"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dzr85pbc676x5.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.35076",
  "fulltext_url": null,
  "id": "dzr85pbc676x5",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.35076",
  "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",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Quantum Computing Algorithms and Architecture"
    ]
  ],
  "openalex": "W7214715314",
  "pdf_url": "https://arxiv.org/pdf/2609.35076",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dzr85pbc676x5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:12Z",
      "native_id": "2609.35076",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.35076"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Classical Bound on the Fisher Information Rate of a Dephasing-Enhanced Quantum Neuron",
  "title_text": "Classical Bound on the Fisher Information Rate of a Dephasing-Enhanced Quantum Neuron",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:12Z",
  "url": "https://research.draconitic.com/paper/dzr85pbc676x5",
  "venue": "arXiv",
  "versions": []
}