{
  "abstract": "Exciton-polariton condensates combine ultrafast dynamics with strong optical nonlinearities, making them promising for optical neuromorphic computing. Here, we numerically demonstrate image recognition using the transient response of an exciton-polariton condensate. Downscaled MNIST images are encoded as optical pulse sequences, and the resulting condensate dynamics are sampled and processed by a linear classifier. For ten-class classification, condensate features achieve 92.2% accuracy, compared with 91.4% for raw-pixel linear classification. Combining both feature sets increases the accuracy to 93.2%. For the challenging binary classification of digits 7 and 9, the combined model reaches 97.3%, exceeding both the linear (95.5%) and feed-forward neural-network (96.6%) baselines. These results demonstrate that polariton dynamics can extract useful nonlinear features for ultrafast optical information processing.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.09939",
  "author_total": 3,
  "authors": [
    {
      "name": "Olgierd Jeziorski"
    },
    {
      "name": "Jakub Rogala"
    },
    {
      "name": "Krzysztof Tyszka"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ayg6edh67cmx6.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.09939",
  "fulltext_url": null,
  "id": "ayg6edh67cmx6",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.09939",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.dis-nn"
    ],
    [
      "arxiv",
      "physics.optics"
    ],
    [
      "openalex",
      "3107|Strong Light-Matter Interactions"
    ]
  ],
  "openalex": "W7212190265",
  "pdf_url": "https://arxiv.org/pdf/2609.09939",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-09",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ayg6edh67cmx6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:12Z",
      "native_id": "2609.09939",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.09939"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.dis-nn",
      "subfield": "condensed-matter"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.optics",
      "subfield": "optics-photonics"
    }
  ],
  "title": "Image recognition based on optical spike processing with exciton-polaritons",
  "title_text": "Image recognition based on optical spike processing with exciton-polaritons",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:12Z",
  "url": "https://research.draconitic.com/paper/ayg6edh67cmx6",
  "venue": "arXiv",
  "versions": []
}