{
  "abstract": "Drawing on advances in superconducting qubit control schemes that unlock enriched native gate sets at the hardware level, we systematically examine how harnessing this enlarged physical two-qubit gate pool---specifically CNOT and CXSWAP---streamlines syndrome extraction for certain qLDPC codes with nonlocal stabilizers. Through an exhaustive search, we discover a set of qLDPC codes with various stabilizer weights and distances that can be implemented on the two-dimensional nearest-neighbor qubit connectivity native to superconducting hardware while achieving performance equivalent to that of the direct CNOT implementation requiring long-range interactions. We refer to those codes as Bunny codes. Across all code distances we examine, the best Bunny codes with weight-6 stabilizers in periodic boundary conditions have a code rate approximately $3\\times$ that of the toric code; when converted to open boundary conditions, they retain an approximately $2\\times$ code rate advantage over the rotated surface code. In circuit-level simulation, we find that some Bunny codes exhibit logical error rates an order of magnitude lower than toric codes with comparable code rates. Our results demonstrate that high-performance quantum error correction can be achieved using an expanded gate set rather than long-range couplers, thereby significantly reducing hardware complexity.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2606.22853",
  "author_total": 7,
  "authors": [
    {
      "name": "Runshi Zhou"
    },
    {
      "name": "Xingye Yuan"
    },
    {
      "name": "Linghang Kong"
    },
    {
      "name": "Fang Zhang"
    },
    {
      "name": "Kai Zhang"
    },
    {
      "name": "Zhaohui Yang"
    },
    {
      "name": "Jianxin Chen"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0rvth32t8werx.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2606.22853",
  "fulltext_url": null,
  "id": "0rvth32t8werx",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2606.22853",
  "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": "W7165686650",
  "pdf_url": "https://arxiv.org/pdf/2606.22853",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0rvth32t8werx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:22Z",
      "native_id": "2606.22853",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2606.22853"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Bunny Codes: Broadening Superconducting Quantum Error Correction Capability through Advanced Control Engineering",
  "title_text": "Bunny Codes: Broadening Superconducting Quantum Error Correction Capability through Advanced Control Engineering",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:22Z",
  "url": "https://research.draconitic.com/paper/0rvth32t8werx",
  "venue": "arXiv",
  "versions": []
}