{
  "abstract": "The compilation of an algorithm can vary significantly with the choice of physical hardware platform and error correction model. Yet, current compilation frameworks typically commit to a single architecture-hardware configuration, making it difficult to assess resource estimates across platforms. We present a platform-aware compilation framework that re-compiles a quantum circuit into a hardware-compatible instruction set as well as fault-tolerant operations and provides end-to-end resource estimates in terms of physical-qubit count, time-to-solution, and classical processing time. We benchmark the framework by obtaining end-to-end resource estimates for different compilers, each tailored to the functionalities of specific hardware modalities: connectivity, clock speed, and noise model. As part of this framework, we introduce a transversal active volume (t-AV) compilation architecture designed for the efficient execution of fault-tolerant operations in platforms supporting long-range logical connectivity. We benchmark the framework for Hamiltonian simulation of the 2D Fermi Hubbard model as well as for eigenenergy estimation of a small molecule (trimethylenemethane) as a candidate for early fault-tolerant demonstration of quantum chemistry. For the latter, we show that end-to-end quantum simulations can be achieved with $\\sim10^4$ physical qubits and runtimes ranging from $10^2$ ms (photonics, superconducting) to $10^5$ ms (neutral atoms).",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.08908",
  "author_total": 7,
  "authors": [
    {
      "name": "Srushti Patil"
    },
    {
      "name": "Susan X. Chen"
    },
    {
      "name": "Andreas Juul Bay-Smidt"
    },
    {
      "name": "Stefan Alaric Schäffer"
    },
    {
      "name": "Peter Krogstrup"
    },
    {
      "name": "Stefano Paesani"
    },
    {
      "name": "Gemma C. Solomon"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5e3s5rmyhptwq.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.08908",
  "fulltext_url": null,
  "id": "5e3s5rmyhptwq",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.08908",
  "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": "W7212000859",
  "pdf_url": "https://arxiv.org/pdf/2609.08908",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5e3s5rmyhptwq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:52Z",
      "native_id": "2609.08908",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.08908"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation",
  "title_text": "A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:52Z",
  "url": "https://research.draconitic.com/paper/5e3s5rmyhptwq",
  "venue": "arXiv",
  "versions": []
}