Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource Costs

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  1. 17 oct 2026, 10:28 · anteayer ·inglés

     Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource Costs

     Researchers from Harvard, Anthropic, and QuEra Computing developed an AI framework that uses Large Language Models (LLMs) to discover and optimize fault-tolerant quantum circuits. This framework significantly reduces the resource costs of core computational primitives, achieving up to 9,100x lower costs compared to hand-crafted baselines. The LLMs achieved this by proposing complete Python programs for circuits, which were then evaluated and refined through an evolutionary process, leading to the discovery of new co-design principles and circuit architectures. The post Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource Costs appeared first on Quantum Computing Report.

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     • discover quantum circuits
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     • quera use llms
     • proposing complete python
     • evolutionary process leading
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