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

T2Covered by 1 source · first reported by The Quantum Insider / Quantum Computing Report at 17 Oct, 10:28 UTC

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…

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Sources

• T2Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource CostsThe Quantum Insider / Quantum Computing Report17 Oct, 10:28