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关于量子Turbo码交织器的性能

On the Performance of Interleavers for Quantum Turbo Codes.

作者信息

Etxezarreta Martinez Josu, Crespo Pedro M, Garcia-Frías Javier

机构信息

Department of Basic Science, Tecnun-University of Navarra, 20018 San Sebastian, Spain.

Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.

出版信息

Entropy (Basel). 2019 Jun 27;21(7):633. doi: 10.3390/e21070633.

DOI:10.3390/e21070633
PMID:33267346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7515126/
Abstract

Quantum turbo codes (QTC) have shown excellent error correction capabilities in the setting of quantum communication, achieving a performance less than 1 dB away from their corresponding hashing bounds. Existing QTCs have been constructed using uniform random interleavers. However, interleaver design plays an important role in the optimization of classical turbo codes. Consequently, inspired by the widely used classical-to-quantum isomorphism, this paper studies the integration of classical interleaving design methods into the paradigm of quantum turbo coding. Simulations results demonstrate that error floors in QTCs can be lowered significantly, while decreasing memory consumption, by proper interleaving design without increasing the overall decoding complexity of the system.

摘要

量子Turbo码(QTC)在量子通信环境中已展现出卓越的纠错能力,其性能与相应的哈希界相差不到1dB。现有的QTC是使用均匀随机交织器构建的。然而,交织器设计在经典Turbo码的优化中起着重要作用。因此,受广泛使用的经典到量子同构的启发,本文研究了将经典交织设计方法集成到量子Turbo编码范式中。仿真结果表明,通过适当的交织设计,在不增加系统整体解码复杂度的情况下,可显著降低QTC中的误码平底,同时减少内存消耗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cb/7515126/b70458083956/entropy-21-00633-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cb/7515126/61876334ddc9/entropy-21-00633-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cb/7515126/b70458083956/entropy-21-00633-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cb/7515126/61876334ddc9/entropy-21-00633-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cb/7515126/b70458083956/entropy-21-00633-g002.jpg

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本文引用的文献

1
Correcting quantum errors with entanglement.利用纠缠纠正量子错误。
Science. 2006 Oct 20;314(5798):436-9. doi: 10.1126/science.1131563. Epub 2006 Sep 28.