arXiv cs.AI· Eunbi Rha, Abhijatmedhi Chotrattanapituk, Mouyang Cheng, Chung-tao Chou, Shenyong Ye, Ashley S. Dale, Long Ju, Luqiao Liu, Mingda Li·· 14 小时前AI 评分34
QUANTA：用智能体 AI 实现量子材料自主测量
Autonomous Quantum Measurement with Agentic AI
AI 导读
研究团队提出智能体 AI 框架 QUANTA，基于 PPMS 实验平台实现量子材料自主表征，结合科学文献检索增强与实验规划、故障排查、数据解读专用智能体，并由独立确定性控制层校验仪器操作。QUANTA 已用于拓扑 Weyl 半金属 TaP 的输运测量和磁性材料 Co2MnGa 的非线性响应研究，可根据数据评估测量质量并调整后续实验计划。
正文 · 原文
Abstract: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.
| Subjects: | Materials Science (cond-mat.mtrl-sci); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.38850 [cond-mat.mtrl-sci] |
| (or arXiv:2610.38850v1 [cond-mat.mtrl-sci] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38850 arXiv-issued DOI via DataCite |
Submission history
From: Eunbi Rha [view email]
[v1]
Wed, 28 Oct 2026 20:33:06 UTC (11,028 KB)
来源：arXiv cs.AI · arxiv.org