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    "headline": "Quantum Feature Selection Claimed No Quantum Advantage",
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    "dek": "A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.",
    "summary": "A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.",
    "body_text": "The method balanced feature relevance against redundancy and compared quantum optimization with classical filters, wrappers and embedded methods. It reduced runtime against exhaustive search and iterative tabu search in the reported experiments, while the authors explicitly frame the result as hardware feasibility rather than quantum advantage.",
    "why_it_matters": "A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.",
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    "tags": [
      "quantum optimization",
      "metabolomics",
      "feature selection"
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      "source_id": "source-2026-09-26-018",
      "title": "arXiv preprint 2609.30256",
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    "title": "Quantum Feature Selection Claimed No Quantum Advantage",
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