量子扩展码随机错误的有效解码

Omar Fawzi, Antoine Grospellier, Anthony Leverrier
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引用次数: 33

摘要

我们证明了量子扩展码,一个恒定速率的量子低密度奇偶校验(LDPC)码族,使用Leverrier、Tillich和zsammor的准线性时间译码算法可以以非常高的概率纠正恒定分数的随机错误。这是第一个具有有效解码算法的恒速率量子LDPC码的结构,该算法可以以可忽略不计的故障概率纠正线性数量的随机错误。查找具有这些属性的代码也受到Gottesman构造具有恒定空间开销的容错方案的启发。为了得到这个结果,我们研究了α-渗透的一个概念:对于给定图的顶点的随机子集E,我们考虑E的最大连通α-子集的大小,其中X是E的α-子集,如果|X∩E|≥α |X|。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient decoding of random errors for quantum expander codes
We show that quantum expander codes, a constant-rate family of quantum low-density parity check (LDPC) codes, with the quasi-linear time decoding algorithm of Leverrier, Tillich and Zémor can correct a constant fraction of random errors with very high probability. This is the first construction of a constant-rate quantum LDPC code with an efficient decoding algorithm that can correct a linear number of random errors with a negligible failure probability. Finding codes with these properties is also motivated by Gottesman’s construction of fault tolerant schemes with constant space overhead. In order to obtain this result, we study a notion of α-percolation: for a random subset E of vertices of a given graph, we consider the size of the largest connected α-subset of E, where X is an α-subset of E if |X ∩ E| ≥ α |X|.
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