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DISTRIBUTED QUANTUM SENSING NETWORK WITH GEOGRAPHICALLY CONSTRAINED MEASUREMENT STRATEGIES

Yingkang Cao (University of Maryland-College Park); Xiaodi Wu (University of Maryland)

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07 Jun 2023

Distributed quantum sensing network has the potential of enhancing the precision in estimating a global function of local parameters by utilizing an entangled probe, compared with that achieved with separable probes. This advantage is often characterized as a quadratic improvement of the quantum Cramér-Rao bound (QCRB). This argument is incomplete in that QCRB assumes a team of all-powerful sensors that can perform arbitrary joint measurements allowed by quantum mechanics. An immediate question arises as to whether such an advantage persists for isolated sensors with physically motivated constraints in their measurement strategies. In this paper, we first consider local operations and classical communication (LOCC) strategies and prove that the QCRB is indeed asymptotically attainable for arbitrary pure probe states, by extending previous work on single-parameter estimation. We further numerically analyze a more restricted scenario where the sensors can only make independent local measurements, and provide evidence that the QCRB is not informative enough for comparing different probe states.

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    Members: Free
    IEEE Members: $11.00
    Non-members: $15.00