The source location of quantum network is an important basic research in the direction of quantum networks, which has important scientific and application values in the frontier fields include quantum state tomography, quantum computing, quantum communication, etc. In this paper, we conduct innovative research on quantum network source location algorithm and theory. A matrix vectorization technique is used to establish a linear system evolution model for quantum network system, and then a high-precision and high-efficiency source location algorithm based on compressed sensing is proposed for large-scale complex quantum networks. All the results of numerical simulation on various model and real networks show the effectiveness and feasibility of the proposed algorithm.
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