{
  "abstract": "Quantum-repeater controllers need reliable estimates of stored entanglement as adjacent links are generated. Fixed exponential lifetimes miss non-Markovian revivals, while complex surrogates are unnecessary when the microscopic family is known. We present QMemTwin, a physics-constrained digital twin that accounts for model uncertainty. It calibrates a bank of contractive passive state-space models, combines their amplitudes with finite-sample-corrected Akaike weights, and abstains when temporal-holdout data indicate unsupported dynamics. Passivity guarantees a completely positive, trace-preserving amplitude-damping channel for each candidate and their convex amplitude average. We evaluate [N cases] synthetic memories: [N supported] supported passive time-invariant cases and [N structural] nonstationary structural-shift cases. In the matched one-pseudomode regime, the correctly specified one-pseudomode fit performs best. Across [N unknown] supported cases with uncertain families, QMemTwin reduces population RMSE by [population reduction]% and Bell-fidelity RMSE by [Bell reduction]% relative to the two-pseudomode model; both paired effects remain significant after Holm correction. The flexible passive model has a slightly lower mean error for unknown families but is statistically indistinguishable from QMemTwin and loses accuracy in the matched regime. The temporal-holdout gate detects [detection]% of structural shifts, with [false alarm]% false alarms on supported families and AUROC [AUC]. In 2-, 4-, and 8-link repeater chains, the mixed cohort shows no significant 8-link goodput gain. A predeclared high-backflow stress cohort yields an 8-link goodput gain of [goodput gain]% over the two-pseudomode model, with paired p = [p value]. These results favor using a known family when available, accounting for model uncertainty otherwise and abstaining on unsupported dynamics.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.34506",
  "author_total": 1,
  "authors": [
    {
      "name": "Muhammad Waqas Haseeb"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4y66mw4vzt9qt.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.34506",
  "fulltext_url": null,
  "id": "4y66mw4vzt9qt",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.34506",
  "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",
      "quant-ph"
    ],
    [
      "openalex",
      "1702|Quantum Information and Cryptography"
    ]
  ],
  "openalex": "W7223828938",
  "pdf_url": "https://arxiv.org/pdf/2610.34506",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-25",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4y66mw4vzt9qt.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:35Z",
      "native_id": "2610.34506",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.34506"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Model-Uncertainty-Aware Digital Twins for Non-Markovian Quantum Repeater Memories",
  "title_text": "Model-Uncertainty-Aware Digital Twins for Non-Markovian Quantum Repeater Memories",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:35Z",
  "url": "https://research.draconitic.com/paper/4y66mw4vzt9qt",
  "venue": "arXiv",
  "versions": []
}