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Optimal distributed multi-parameter estimation in noisy environments
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DOI：10.1088/2058-9565/ad37d5.png)
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Abstract
En 中文
We consider the task of multiple parameter estimation in the presence of strong correlated noise with a network of distributed sensors. The signals and the noises have different spatial dependence but are encoded with the same local generators. We study how to find and improve noise-insensitive strategies. We show that sequentially probing with GHZ states from the decoherence-free subspace that we identify is asymptotically optimal up to a factor of at most 4 in the limit of many repetitions. The implementation of such strategies only requires local read-out and 'passive' resources-an initially entangled state of the sensors and tunable local interaction strength.
Keywords:
quantum metrology
distributed quantum metrology
decoherence free subspace
multiparameter estimation
quantum sensor network
correlated noise
correlated dephasing
Journal
IF:
5
Papers:
1.4K
Citations:
5.1K