Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments
Published in arXiv, 2026
Paper /
An LLM-based agentic workflow that autonomously plans, runs, and analyzes quantum sensing experiments on nitrogen-vacancy centers in diamond, together with offline benchmarks that evaluate the agent’s scientific reasoning.
Recommended citation: Isogawa, T.†, Okabe, R.†, Phadetsuwannukun, N., Li, M., & Cappellaro, P. (2026). Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments. arXiv preprint arXiv:2607.25145.
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