Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication

End-to-end radio communication needs to be optimized against noisy channel conditions and other distortion effects. This paper presents a novel concept, a set of hybrid quantum-classical autoencoder architectures with a comprehensive feasibility study using standard encoded radio signals, to evaluat...

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Bibliographic Details
Published in:	IEEE access Vol. 13; pp. 82181 - 82192
Main Authors:	Tabi, Zsolt I., Bako, Bence, Nagy, Daniel T. R., Vaderna, Peter, Kallus, Zsofia, Haga, Peter, Zimboras, Zoltan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Autoencoders Coding Computer architecture Encoding Feasibility studies Machine learning Network design Neural networks Quadrature amplitude modulation quantum autoencoder Quantum circuit Quantum machine learning Radio communication Radio communications Radio signals Random noise Receivers Receivers & amplifiers Symbols Transceivers
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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