{
  "abstract": "The combination of quantum sensing with quantum computing to provide an enhancement over conventional quantum sensing has recently emerged as a promising potential application of quantum computing that could give advantages without needing large-scale or fault-tolerant hardware. In this work, we report an experimental demonstration of a recent theoretical proposal to repurpose Grover's search algorithm to improve the ability to detect signals with unknown frequency within a large detection bandwidth. Our experiments were based on a system comprising a single superconducting qubit coupled to a single superconducting cavity, highlighting the modest hardware requirements for realizing the protocol. We found that Grover-based sensing was able to outperform the natural non-Grover baseline for our experimental platform for detection bandwidths $>$10~MHz, with an advantage that empirically grew superlinearly with the bandwidth beyond that break-even point. The use of the Grover-based protocol reduced the amount of signal that needed to be sensed to make an accurate detection decision by more than 10$\\times$ for choices of larger detection bandwidth and higher desired detection accuracy. Our results provide a proof-of-principle validation that Grover-based quantum computational sensing can be realized in near-term hardware and provide a metrological advantage well beyond break-even in spite of the additional protocol complexity.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.35016",
  "author_total": 9,
  "authors": [
    {
      "name": "Mathieu Ouellet"
    },
    {
      "name": "Purnendu Sen"
    },
    {
      "name": "Xiangqin Wang"
    },
    {
      "name": "Saswata Roy"
    },
    {
      "name": "Xingrui Song"
    },
    {
      "name": "Vladimir Kremenetski"
    },
    {
      "name": "Sridhar Prabhu"
    },
    {
      "name": "Valla Fatemi"
    },
    {
      "name": "Peter L. McMahon"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4jsc8m8dfjge9.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.35016",
  "fulltext_url": null,
  "id": "4jsc8m8dfjge9",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.35016",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "quant-ph"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2609.35016",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4jsc8m8dfjge9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:12Z",
      "native_id": "2609.35016",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.35016"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Experimental quantum-computing-enhanced sensing using Grover's algorithm",
  "title_text": "Experimental quantum-computing-enhanced sensing using Grover's algorithm",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:12Z",
  "url": "https://research.draconitic.com/paper/4jsc8m8dfjge9",
  "venue": "arXiv",
  "versions": []
}