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    "story_id": "mp-2026-11-01-013",
    "source_story_id": "tmp-story-qldpc-neural-triage",
    "edition_id": "mp-2026-11-01-morning-0114",
    "edition_url": "https://themachinepress.com/edition/2026-11-01",
    "position": 13,
    "story_type": "dispatch",
    "section": "chips-infrastructure",
    "editorial_classification": "editorial",
    "headline": "The Quantum Decoder Spends More Work Only on the Hard Syndromes",
    "slug": "the-quantum-decoder-spends-more-work-only-on-the-hard-syndromes",
    "dek": "Neural triage decoding matched the reported accuracy of near-optimal algorithmic decoders while cutting latency by roughly one to two orders of magnitude.",
    "summary": "Neural triage decoding matched the reported accuracy of near-optimal algorithmic decoders while cutting latency by roughly one to two orders of magnitude.",
    "body_text": "High-rate quantum error-correcting codes need fast decoding to keep up with hardware. The Triage decoder first applies a local neural message-passing network, then adds iterations only when syndrome consistency remains unresolved, with a rarely invoked diversification stage for the hardest shots. On lifted-product and Kasai codes encoding hundreds of logical qubits, the paper reports accuracy comparable to near-optimal algorithmic decoders and latency lower by about one to two orders of magnitude. The result is simulation and decoding evidence for tested codes and noise models, not a full fault-tolerant processor demonstration.",
    "why_it_matters": "Neural triage decoding matched the reported accuracy of near-optimal algorithmic decoders while cutting latency by roughly one to two orders of magnitude.",
    "limitations": [
      "The Triage decoder first applies a local neural message-passing network, then adds iterations only when syndrome consistency remains unresolved, with a rarely invoked diversification stage for the hardest shots.",
      "The result is simulation and decoding evidence for tested codes and noise models, not a full fault-tolerant processor demonstration."
    ],
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    "first_published_at": "2026-11-01T09:00:00.000-05:00",
    "modified_at": "2026-11-01T09:00:00.000-05:00",
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        "text": "Neural triage decoding matched the reported accuracy of near-optimal algorithmic decoders while cutting latency by roughly one to two orders of magnitude.",
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        "qualification": "The Triage decoder first applies a local neural message-passing network, then adds iterations only when syndrome consistency remains unresolved, with a rarely invoked diversification stage for the hardest shots."
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    "source_ids": [
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    "tags": [
      "quantum error correction",
      "decoding",
      "neural networks",
      "latency"
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  "sources": [
    {
      "source_id": "source-2026-11-01-013",
      "title": "arXiv preprint 2610.40490, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.40490v1",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-28T20:00:00.000-04:00",
      "accessed_at": "2026-11-01T08:20:00.000-05:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Quantum Decoder Spends More Work Only on the Hard Syndromes",
    "publisher": "The Machine Press",
    "published_at": "2026-11-01T09:00:00.000-05:00",
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