Entanglement-enhanced AC magnetometry in the presence of Markovian noises
Thanaporn Sichanugrist, Hajime Fukuda, Takeo Moroi, Kazunori Nakayama, So Chigusa, Norikazu Mizuochi, Masashi Hazumi, Yuichiro Matsuzaki

TL;DR
This paper demonstrates that entanglement, specifically GHZ states, can enhance the detection of AC magnetic fields in noisy environments with Markovian decoherence, surpassing classical limits and broadening detection bandwidth.
Contribution
It introduces a method using GHZ states to improve entanglement-enhanced AC magnetometry under parallel Markovian noise, especially for detuned Rabi oscillations.
Findings
GHZ states significantly boost AC magnetic field detection sensitivity.
The interaction time scales as 1/L, improving bandwidth for frequency detection.
Entanglement provides advantages in noisy environments for AC, not DC, magnetic field sensing.
Abstract
Entanglement is a resource to improve the sensitivity of quantum sensors. In an ideal case, using an entangled state as a probe to detect target fields, we can beat the standard quantum limit by which all classical sensors are bounded. However, since entanglement is fragile against decoherence, it is unclear whether entanglement-enhanced metrology is useful in a noisy environment. Its benefit is indeed limited when estimating the amplitude of DC magnetic fields under the effect of parallel Markovian decoherence, where the noise operator is parallel to the target field. In this paper, on the contrary, we show an advantage to using an entanglement over the classical strategy under the effect of parallel Markovian decoherence when we try to detect AC magnetic fields. We consider a scenario to induce a Rabi oscillation of the qubits with the target AC magnetic fields. Although we can, in…
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Taxonomy
TopicsCharacterization and Applications of Magnetic Nanoparticles · Magnetic Properties and Applications · Magnetic Field Sensors Techniques
