Approaching the Limit in Multiparameter AC Magnetometry with Quantum Control

• URL: http://arxiv.org/abs/2602.17648v1
• Date: Thu, 19 Feb 2026 18:55:17 GMT
• Title: Approaching the Limit in Multiparameter AC Magnetometry with Quantum Control
• Authors: Takuya Isogawa, Zhiyao Hu, Ayumi Kanamoto, Nutdech Phadetsuwannukun, Shilin Wang, Shunsuke Nishimura, Boning Li, Liang Jiang, Zain H. Saleem, Guoqing Wang, Haidong Yuan, Paola Cappellaro,
• Abstract summary: We introduce a quantum control protocol that resolves the problem of estimating the amplitude and frequency of an AC magnetic field.<n>It not only removes the singularity but also restores the optimal scaling of precision with interrogation time for both parameters simultaneously.<n>We experimentally validate this protocol using a nitrogen-vacancy center in diamond at room temperature, demonstrating the concurrent achievement of the optimal scaling for both parameters.
• Score: 22.22957615478987
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Simultaneously estimating multiple parameters at the ultimate limit is a central challenge in quantum metrology, often hindered by inherent incompatibilities in optimal estimation strategies. At its most extreme, this incompatibility culminates in a fundamental impossibility when the quantum Fisher information matrix (QFIM) becomes singular, rendering joint estimation unattainable. This is the case for a canonical problem: estimating the amplitude and frequency of an AC magnetic field, where the generators are parallel to each other. Here, we introduce a quantum control protocol that resolves this singularity. Our control protocol strategically engineers the sensor's time evolution so the generators for the two parameters become orthogonal. It not only removes the singularity but also restores the optimal scaling of precision with interrogation time for both parameters simultaneously. We experimentally validate this protocol using a nitrogen-vacancy center in diamond at room temperature, demonstrating the concurrent achievement of the optimal scaling for both parameters under realistic conditions.

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