Rapidly trainable and shallow-compiled quantum approximate optimization algorithm for maximum likelihood detection

In multiple-input and multiple-output (MIMO) systems, the maximum likelihood (ML) detection problem is NP-hard and becomes increasingly complex with more transmitting antennas and symbols. The quantum approximate optimization algorithm (QAOA), a leading candidate algorithm running in the noisy inter...

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Vydané v:	Physics letters. A Ročník 548; s. 130541
Hlavní autori:	Liu, Yuxiang, Qian, Yinuo, Wang, Lu, Zhang, Zaichen, Yu, Xutao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.07.2025
Predmet:	Compilation Maximum likelihood (ML) detection Parameter symmetry Quantum approximate optimization algorithm (QAOA) Quantum approximate optimization algorithm (QAOA) Parameter symmetry Maximum likelihood (ML) detection Compilation
ISSN:	0375-9601
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