Quantum Autoencoders for Learning Quantum Channel Codes

This work investigates the application of quantum machine learning techniques for classical and quantum communication across different qubit channel models. By employing parameterized quantum circuits and a flexible channel noise model, we develop a machine learning framework to generate quantum cha...

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Bibliographic Details

Published in:	International Conference on Communication Systems and Networks (Online) pp. 988 - 993
Main Authors:	Rathi, Lakshika, DiAdamo, Stephen, Shabani, Alireza
Format:	Conference Proceeding
Language:	English
Published:	IEEE 03.01.2024
Subjects:	Channel coding Channel models classical-quantum communication Codes Integrated circuit modeling Machine learning quantum channel capacity Quantum channels quantum communication quantum machine learning Quantum mechanics quantum Shannon theory Qubit
ISSN:	2155-2509
Online Access:	Get full text
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