{
  "abstract": "Reconfigurable photonic integrated circuits enable applications in a wide range of fields. They represent a powerful platform for signal processing due to the ability to perform parallel computations. In this work, we demonstrate a photonic processor based on a six-channel universal chip fabricated by femtosecond laser writing with an interlaced architecture comprising multiport beam splitters. We exploit and enhance a previously demonstrated calibration procedure for a single building block, and extend it to a complete six-channel interferometer, reconstructing the corresponding interferometer models over a broad spectral range. We validate them by measuring a set of 100 Haar-random unitary matrices, achieving mean amplitude fidelities of 95.9 %, 98.0 %, and 96.0 % for radiation wavelengths 910, 945, and 980 nm, respectively, without on-device optimization. Furthermore, we experimentally realize spectral demultiplexing and multiplexing at these wavelengths, yielding routing fidelities ranging from 90.1 % to 96.5 % and total crosstalk values ranging from -9.6 to -14.4 dB, confirming the applicability of the fabricated photonic processor to practical wavelength-routing tasks.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.08552",
  "author_total": 11,
  "authors": [
    {
      "name": "Ilya V. Kondratyev"
    },
    {
      "name": "Kseniia N. Urusova"
    },
    {
      "name": "Artem S. Argenchiev"
    },
    {
      "name": "Sergei A. Zhuravitskii"
    },
    {
      "name": "Nikolay N. Skryabin"
    },
    {
      "name": "Alexander D. Golikov"
    },
    {
      "name": "Vadim V. Kovalyuk"
    },
    {
      "name": "Gregory N. Goltsman"
    },
    {
      "name": "Ivan V. Dyakonov"
    },
    {
      "name": "Stanislav S. Straupe"
    },
    {
      "name": "Sergei P. Kulik"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/55z82jqqt0cn5.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.08552",
  "fulltext_url": null,
  "id": "55z82jqqt0cn5",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.08552",
  "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.optics"
    ],
    [
      "openalex",
      "1702|Neural Networks and Reservoir Computing"
    ]
  ],
  "openalex": "W7212082335",
  "pdf_url": "https://arxiv.org/pdf/2609.08552",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/55z82jqqt0cn5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:52Z",
      "native_id": "2609.08552",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.08552"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.optics",
      "subfield": "optics-photonics"
    }
  ],
  "title": "Universal Broadband Linear Optical Transformations by an Interlaced Structured Integrated Photonic Processor",
  "title_text": "Universal Broadband Linear Optical Transformations by an Interlaced Structured Integrated Photonic Processor",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:52Z",
  "url": "https://research.draconitic.com/paper/55z82jqqt0cn5",
  "venue": "arXiv",
  "versions": []
}