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Quantum sensing and metrology

Quantum phenomena, such as entanglement, can boost the performance of sensing and detection. On the fundamental side, we recently derived the ultimate limits of quantum channel discrimination [1]. On the application side, our group has solved the optimal receiver design problem in quantum illumination in the past [2,3]. We also proposed to utilize entanglement to assist absorption spectroscopy that are widely applicable to various scenarios [4]. More recently, we generalize the quantum advantage in quantum illumination to important radar detection tasks such as target ranging [5] and revealed 10s of dB quantum advantage from entanglement in the range-delay accuracy [6].

Distributed quantum sensing (DQS) enhances the measurement precision of global parameters in a sensor network via multipartite entanglement. Our group led the initial design of DQS in the optical domain [7], and provided the theory support for the first experimental demonstration of a 

reconfigurable entangled sensor network [8]. To cope with noise and loss, my group and collaborators have proposed using continuous-variable quantum error correction to assist DQS systems that operate under noise [9]. See our recent invited topical review for Quantum Science and Technology [10] for a summary of the current state-of-the-art for DQS.

Quantum metrology has wide applications. One of our recent focus is to understand its role in dark matter search, such as applying DQS technique to microwave haloscopes [11,12].

We are part of:

DoE Superconducting Quantum Materials and Systems Center

Recent publications:

  • [12] Entangled sensor-networks for dark-matter searches, A. J. Brady, C. Gao, R. Harnik, Z. Liu, Z. Zhang, Q. Zhuang, arXiv:2203.05375 (2022). To appear on PRX Quantum.
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