We propose a quantum-assisted solution for the maximum likelihood detection (MLD) of generalized spatial modulation (GSM) signals. Specifically, the MLD of GSM is first formulated as a novel polynomial optimization problem, followed by the application of a quantum algorithm, namely, the Grover adaptive search. The performance in terms of query complexity of the proposed method is evaluated and compared to the classical alternative via a numerical analysis, which reveals that under fault-tolerant quantum computation, the proposed method outperforms the classical solution if the number of data symbols and the constellation size are relatively large.


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    Title :

    Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation




    Publication date :

    2024-10-07


    Size :

    23854850 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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