Control-enhanced quantum metrology under Markovian noise

• URL: http://arxiv.org/abs/2211.01803v1
• Date: Thu, 3 Nov 2022 13:39:47 GMT
• Title: Control-enhanced quantum metrology under Markovian noise
• Authors: Yue Zhai, Xiaodong Yang, Kai Tang, Xinyue Long, Xinfang Nie, Tao Xin, Dawei Lu, and Jun Li
• Abstract summary: We propose a control-enhanced quantum metrology scheme to defend against realistic noises. As a demonstration, we apply it to the problem of frequency estimation under several typical Markovian noise channels. We show that our scheme performs better and can improve the estimation precision up to around one order of magnitude.
• Score: 10.626708718934022
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum metrology is supposed to significantly improve the precision of parameter estimation by utilizing suitable quantum resources. However, the predicted precision can be severely distorted by realistic noises. Here, we propose a control-enhanced quantum metrology scheme to defend against these noises for improving the metrology performance. Our scheme can automatically alter the parameter encoding dynamics with adjustable controls, thus leading to optimal resultant states that are less sensitive to the noises under consideration. As a demonstration, we numerically apply it to the problem of frequency estimation under several typical Markovian noise channels. Through comparing our control-enhanced scheme with the standard scheme and the ancilla-assisted scheme, we show that our scheme performs better and can improve the estimation precision up to around one order of magnitude. Furthermore, we conduct a proof-of-principle experiment in nuclear magnetic resonance system to verify the effectiveness of the proposed scheme. The research here is helpful for current quantum platforms to harness the power of quantum metrology in realistic noise environments.

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