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...

Full description

Bibliographic Details

Published in:	Physics letters. A Vol. 548; p. 130541
Main Authors:	Liu, Yuxiang, Qian, Yinuo, Wang, Lu, Zhang, Zaichen, Yu, Xutao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.07.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!