{
  "abstract": "We introduce OpenQARP, the Open Quantum Application Research Package: an open-source Python framework for quantum application research, built on a compiled C++ core. In OpenQARP, an application is assembled from an algorithm library that orchestrates three interchangeable layers: blocks describe circuits, primitives describe what to extract from them, and engines describe how they run. The release spans near-term through fault-tolerant methods, targeting problems from electronic structure to combinatorial optimization, with device-aware compilation, circuit cutting, and resource estimation over a single set of numerical conventions that the code must follow. Every numerical feature is checked against an independent oracle, and every published timing carries a correctness check. Against OpenFermion, Qiskit/Aer, PennyLane/Lightning, Qulacs, qsim, and pytket, OpenQARP is one to two orders of magnitude faster on operator algebra and among the fastest on simulation. It matches mature compilers on two-qubit gate count, and expresses a complete algorithm in the lines a framework needs rather than the plumbing a primitive stack demands.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.15697",
  "author_total": 10,
  "authors": [
    {
      "name": "Stefano Scali"
    },
    {
      "name": "Vicente P. Soloviev"
    },
    {
      "name": "Antonio Márquez Romero"
    },
    {
      "name": "Brian Coyle"
    },
    {
      "name": "Giuseppe Buonaiuto"
    },
    {
      "name": "Annie Paine"
    },
    {
      "name": "Jonathan H. Fetherolf"
    },
    {
      "name": "Marcos Diez García"
    },
    {
      "name": "Michal Krompiec"
    },
    {
      "name": "Josh Kirsopp"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dpn4r002afw3v.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.15697",
  "fulltext_url": null,
  "id": "dpn4r002afw3v",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.15697",
  "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",
      "cs.MS"
    ],
    [
      "arxiv",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Quantum Computing Algorithms and Architecture"
    ]
  ],
  "openalex": "W7213319196",
  "pdf_url": "https://arxiv.org/pdf/2609.15697",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-14",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dpn4r002afw3v.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:25Z",
      "native_id": "2609.15697",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.15697"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "OpenQARP: a modular framework for quantum application research",
  "title_text": "OpenQARP: a modular framework for quantum application research",
  "type": "preprint",
  "updated_at": "2026-10-30T12:21:25Z",
  "url": "https://research.draconitic.com/paper/dpn4r002afw3v",
  "venue": "arXiv",
  "versions": []
}