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    "headline": "A Learned Quantum Scheduler Held Success With 71% Weaker Links",
    "slug": "a-learned-quantum-scheduler-held-success-with-71-weaker-links",
    "dek": "Message-passing reinforcement learning scheduled simultaneous entanglement requests across tested network topologies.",
    "summary": "Message-passing reinforcement learning scheduled simultaneous entanglement requests across tested network topologies.",
    "body_text": "The authors formulated simultaneous quantum-network requests as a Markov decision process and trained graph-based double deep-Q policies. On tested physically relevant topologies, the learned policies maintained 100% success at link-activation probabilities up to 71% lower than heuristic baselines. With hardware-placement restrictions, they retained at least 80% success at probabilities up to 59% lower. These are modeled network results, not deployed quantum-internet measurements.",
    "why_it_matters": "Message-passing reinforcement learning scheduled simultaneous entanglement requests across tested network topologies.",
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      "These are modeled network results, not deployed quantum-internet measurements."
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        "qualification": "These are modeled network results, not deployed quantum-internet measurements."
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    "tags": [
      "quantum networks",
      "reinforcement learning",
      "entanglement"
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  "sources": [
    {
      "source_id": "source-2026-09-25-009",
      "title": "arXiv preprint 2609.30157",
      "publisher": "arXiv",
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      "published_at": "2026-09-24T13:16:00.000-04:00",
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    "title": "A Learned Quantum Scheduler Held Success With 71% Weaker Links",
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