QUANTA：自主操作量子测量设备的智能体框架
Autonomous Quantum Measurement with Agentic AI
研究者把测量量子材料的活儿交给 AI 智能体自己规划、自己操作 PPMS 设备，还在 TaP 和 Co2MnGa 上跑通了，做材料实验的可以看看。
arXiv 论文提出 QUANTA，一个用于自主量子材料表征的智能体框架。它以广泛使用的 Physical Property Measurement System（PPMS）为实验平台，结合科学文献检索增强，并配有实验规划、故障排查和数据解读三个专用智能体。独立的确定性控制层负责校验仪器操作安全性。论文在拓扑外尔半金属 TaP 的输运测量和磁性材料 Co2MnGa 的非线性响应研究中验证了该框架。
Autonomous Quantum Measurement with Agentic AI
Quantum materials exhibit diverse electronic and functional phenomena, but their characterization requires extensive experimental expertise, iterative decision-making and accumulated laboratory knowledge that is difficult to document and transfer. Here we introduce Quantum Agent (QUANTA), an agentic artificial intelligence (AI) framework for autonomous quantum-materials characterization. Using a widely adopted Physical Property Measurement System (PPMS) as an experimental platform, QUANTA combines retrieval augmentation using scientific literature, experimental protocols and prior measurements with specialized agents for experimental planning, troubleshooting, and data interpretation. A separate deterministic control layer validates instrument actions. Guided by incoming data, QUANTA evaluates measurement quality, revises experimental plans and selects subsequent measurements. We demonstrate these capabilities through transport measurements of the topological Weyl semimetal TaP, as well as investigations of nonlinear responses in magnetic material Co2MnGa. These results establish QUANTA as a generalizable framework for evidence-driven, safeguarded and closed-loop quantum-materials characterization.