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Sum-product decoding for sparse quantum codes over random balanced X-Z channel

机译:随机平衡X-Z通道上稀疏量子码的和积解码

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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.
机译:在本文中,我们将反馈和积算法推广到在随机平衡X-Z通道上对稀疏量子代码的解码,从而显着提高了相关稀疏量子代码的性能。我们指出,由于信道的随机性,简并误差将大大降低,稀疏量子码性能的提高来自于新的解码算法,其中新的可靠和有用的信息通过反馈给解码器。反馈策略。在本文的最后,通过仿真来验证我们的陈述。

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