{
  "abstract": "Accurate modelling of chemical reaction rates requires precise correlated energy differences. Quantum computing offers a potential route to their determination, but extracting energies from quantum-prepared states can demand prohibitive sampling. We demonstrate measurement-efficient correlated energy estimation using an electronically challenging H$_2$DBB--Ru model derived from a Ru-functionalized hafnium metal-organic framework relevant to radiodynamic and photodynamic therapies. The mixed estimator combines a quantum-prepared target with sparse multiconfiguration references and recovers ground-state corrections using magnitude-only compute-uncompute measurements. Analytical variance estimates predict 1.6 mHa precision with a few hundred shots, about 100 times fewer than the single-determinant formulation and three orders of magnitude fewer than optimized Hamiltonian-term sampling. With approximate targets, it reaches comparable accuracy using simpler state preparation than direct expectation-value estimation. Emulator and trapped-ion experiments on Quantinuum Helios validate the approach up to (10,10), including a 50-qubit circuit combining AI-assisted state preparation with error detection, providing a measurement-efficient route to correlated energy differences for challenging chemical problems.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.26689",
  "author_total": 17,
  "authors": [
    {
      "name": "Connor Lenihan"
    },
    {
      "name": "Kripa Panchagnula"
    },
    {
      "name": "Luca Erhart"
    },
    {
      "name": "Jem Guhit"
    },
    {
      "name": "Carlo A. Gaggioli"
    },
    {
      "name": "Gabriel Greene-Diniz"
    },
    {
      "name": "Gabriel Laude"
    },
    {
      "name": "Megan Cerys Rowe"
    },
    {
      "name": "Fabian Finger"
    },
    {
      "name": "Pranav Kalidindi"
    },
    {
      "name": "Enrico Rinaldi"
    },
    {
      "name": "Mikko Muuronen"
    },
    {
      "name": "Chandrika Mulakala"
    },
    {
      "name": "Thomas M. Soini"
    },
    {
      "name": "Elvira Shishenina"
    },
    {
      "name": "David Muñoz Ramo"
    },
    {
      "name": "David Zsolt Manrique"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f59wr67y4x9js.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.26689",
  "fulltext_url": null,
  "id": "f59wr67y4x9js",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.26689",
  "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.chem-ph"
    ],
    [
      "arxiv",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Quantum Computing Algorithms and Architecture"
    ]
  ],
  "openalex": "W7223010050",
  "pdf_url": "https://arxiv.org/pdf/2610.26689",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/f59wr67y4x9js.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:52Z",
      "native_id": "2610.26689",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.26689"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "arxiv:physics.chem-ph",
      "subfield": "physical"
    },
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Measurement-efficient energy estimator for quantum chemistry of photodynamic materials",
  "title_text": "Measurement-efficient energy estimator for quantum chemistry of photodynamic materials",
  "type": "preprint",
  "updated_at": "2026-10-30T12:33:41Z",
  "url": "https://research.draconitic.com/paper/f59wr67y4x9js",
  "venue": "arXiv",
  "versions": []
}