QuantumQuantum Computing Report1h ago
Harvard, Anthropic, and QuEra Use LLMs
Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource Costs
TL;DRAI finds ways to build quantum circuits using 9,100x fewer resources than before.
Why it matters: Cheaper quantum computing moves practical applications closer to reality, accelerating commercialization timelines.
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…
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