DocumentCode :
3699047
Title :
Sum-product decoding for sparse quantum codes over random balanced X-Z channel
Author :
Han Chun-Lei;Wang Yun-Jiang;Shi Sha;Yu Jing
Author_Institution :
Laboratory of Electronic Information Network, CETC No.20 Research Institute, Xi´an China
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we generalize the feedback sum-product algorithm to the decoding of sparse quantum codes over random balanced X-Z Channels, thereby significantly improving the performance of the concerned sparse quantum codes. We point out that, due to the randomness of the channel, degeneracy errors would be degreased greatly and the improvement of the performance of the sparse quantum codes come from the new decoding algorithm, where more reliable and useful information is feedback to the decoder by using the feedback strategy. As the end of this paper, simulations are given to verify our statements.
Keywords :
"Decoding","Iterative decoding","Quantum entanglement","Probability distribution","Quantum computing","Yttrium","Sum product algorithm"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
Type :
conf
DOI :
10.1109/ICSPCC.2015.7338965
Filename :
7338965
Link To Document :
بازگشت