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Automating quantum computing laboratory experiments with an agent-based AI framework
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DOI：10.1016/j.patter.2025.101372.png)
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Abstract
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• Language-model agents learn and apply laboratory knowledge • Agents autonomously conduct complex quantum experiments • System enables closed-loop feedback for experiment control • Performance matches expert scientists in quantum calibration
Keywords:
large language model
quantum computing
self-driving laboratories
superconducting quantum processors
qubit calibration
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