A renormalization group decoding algorithm for topological quantum codes

G. Duclos-Cianci, D. Poulin
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引用次数: 50

Abstract

Topological quantum error-correcting codes are defined by geometrically local checks on a two-dimensional lattice of quantum bits (qubits), making them particularly well suited for fault-tolerant quantum information processing. Here, we present a decoding algorithm for topological codes that is faster than previously known algorithms and applies to a wider class of topo-logical codes. Our algorithm makes use of two methods inspired from statistical physics: renormalization groups and mean-field approximations. First, the topological code is approximated by a concatenated block code that can be efficiently decoded. To improve this approximation, additional consistency conditions are imposed between the blocks, and are solved by a belief propagation algorithm.
拓扑量子码的重整化群译码算法
拓扑量子纠错码是通过在量子比特(量子位)的二维晶格上进行几何局部检查来定义的,这使得它们特别适合于容错量子信息处理。在这里,我们提出了一种拓扑码的解码算法,它比以前已知的算法更快,并适用于更广泛的拓扑码类。我们的算法使用了两种来自统计物理的方法:重整化群和平均场近似。首先,拓扑码由一个可以有效解码的连接块码近似。为了改善这种近似,在块之间施加额外的一致性条件,并通过信念传播算法求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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