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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Vydané v:	International Conference on Communication Systems and Networks (Online) s. 988 - 993
Hlavní autori:	Rathi, Lakshika, DiAdamo, Stephen, Shabani, Alireza
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 03.01.2024
Predmet:	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
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