{
  "abstract": "Quantum reservoir computing (QRC) is a machine learning approach which employs the internal dynamics of a physical system (the reservoir) to encode and process information. In this work, we explore the use of dual-unitary circuits in a brickwork architecture as a platform for QRC, well suited to current noisy intermediate-scale quantum devices. Dual-unitary circuits present both practical and conceptual advantages. Our results indicate that, under appropriate conditions, dual-unitarity can lead to an enhanced regime of operation: we numerically verify that it improves memory effects and nonlinear processing, and shields against finite-shot noise, mitigating exponential concentration. Moreover, dual unitarity offers an intuitive picture of how operator dynamics gives rise to memory and nonlinear processing in circuit-based reservoirs.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.09292",
  "author_total": 2,
  "authors": [
    {
      "name": "Gabriel O. Alves"
    },
    {
      "name": "Pieter W. Claeys"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fa7qxycxh83nx.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.09292",
  "fulltext_url": null,
  "id": "fa7qxycxh83nx",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.09292",
  "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",
      "cond-mat.dis-nn"
    ],
    [
      "arxiv",
      "nlin.CD"
    ],
    [
      "arxiv",
      "nlin.SI"
    ],
    [
      "arxiv",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Neural Networks and Reservoir Computing"
    ]
  ],
  "openalex": "W7212150753",
  "pdf_url": "https://arxiv.org/pdf/2609.09292",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/fa7qxycxh83nx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:12Z",
      "native_id": "2609.09292",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.09292"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.dis-nn",
      "subfield": "condensed-matter"
    },
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    },
    {
      "field": "physics",
      "origin": "arxiv:nlin.CD",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Dual-unitary Circuits as a Platform for Quantum Reservoir Computing",
  "title_text": "Dual-unitary Circuits as a Platform for Quantum Reservoir Computing",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:12Z",
  "url": "https://research.draconitic.com/paper/fa7qxycxh83nx",
  "venue": "arXiv",
  "versions": []
}