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    "area": "AI-assisted quantum computing",
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      "scope": "The evaluator checks phase, preserved inputs and clean ancillas, but samples large input domains. Some designs permit distribution-specific failures, and Toffoli–qubit product is a logical-resource proxy rather than measured hardware runtime. Results do not establish arbitrary-circuit optimality or worst-case exactness."
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      "scope": {
        "description": "The evaluator checks phase, preserved inputs and clean ancillas, but samples large input domains. Some designs permit distribution-specific failures, and Toffoli–qubit product is a logical-resource proxy rather than measured hardware runtime. Results do not establish arbitrary-circuit optimality or worst-case exactness.",
        "domain": "AI-assisted quantum computing"
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      "sources": [
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          "citation": "Discovering state-of-the-art quantum circuits with large language models",
          "url": "https://arxiv.org/abs/2610.22367v1"
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      "statement": "# Gu and colleagues with Claude: evaluator-guided reversible quantum-circuit discovery\n\nUsed an evolutionary program-search loop with Claude-generated circuit architectures and feedback from a separate programmatic evaluator to improve reversible computational primitives, including Reed–Solomon decoding and prime-field modular inversion. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.\n\n## Scientific scope\n\nThe evaluator checks phase, preserved inputs and clean ancillas, but samples large input domains. Some designs permit distribution-specific failures, and Toffoli–qubit product is a logical-resource proxy rather than measured hardware runtime. Results do not establish arbitrary-circuit optimality or worst-case exactness.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAndi Gu; Alek H. Kemeny; Susanne F. Yelin; Mikhail D. Lukin\n\nNamed source authors and agent execution are recorded separately; individual effort shares are unknown.\n\nClaude / Anthropic / Claude Mythos 5: Source-reported circuit architecture and program generation in a human-specified search and evaluation framework (source reported).\n\n## Original sources\n\n- [Discovering state-of-the-art quantum circuits with large language models](https://arxiv.org/abs/2610.22367v1)\n- [Designing more efficient quantum circuits with Claude](https://www.anthropic.com/research/designing-efficient-quantum-circuits)\n",
      "summary": "Used an evolutionary program-search loop with Claude-generated circuit architectures and feedback from a separate programmatic evaluator to improve reversible computational primitives, including Reed–Solomon decoding and prime-field modular inversion. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.",
      "title": "Gu and colleagues with Claude: evaluator-guided reversible quantum-circuit discovery"
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