Autonomous Quantum Measurement with Agentic AI
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.
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BibTeX
@misc{rha2026autonomous,
title = {{Autonomous Quantum Measurement with Agentic AI}},
author = {Eunbi Rha and Abhijatmedhi Chotrattanapituk and Mouyang Cheng and Chung-tao Chou and Shenyong Ye and Ashley S. Dale and Long Ju and Luqiao Liu and Mingda Li},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.38850},
eprint = {2610.38850},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.38850},
}
RIS
TY - UNPB
TI - Autonomous Quantum Measurement with Agentic AI
AU - Eunbi Rha
AU - Abhijatmedhi Chotrattanapituk
AU - Mouyang Cheng
AU - Chung-tao Chou
AU - Shenyong Ye
AU - Ashley S. Dale
AU - Long Ju
AU - Luqiao Liu
AU - Mingda Li
PY - 2026
DA - 2026/10/28
PB - arXiv
DO - 10.48550/arxiv.2610.38850
UR - https://arxiv.org/abs/2610.38850
AB - 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.
ER -