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arXiv · 2408.13531

Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation

Kein Yukiyoshi·Taku Mikuriya·Hyeon Seok Rou·Giuseppe Thadeu Freitas de Abreu·Naoki Ishikawa
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Abstract

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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Kein Yukiyoshi, Taku Mikuriya, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Naoki Ishikawa. 2024-08-24. Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation. https://arxiv.org/abs/2408.13531

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