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Efficient decoding of random errors for quantum expander codes

Abstract : We show that quantum expander codes, a constant-rate family of quantum LDPC codes, with the quasi-linear time decoding algorithm of Leverrier, Tillich and Z\'emor 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 $\alpha$-percolation: for a random subset $W$ of vertices of a given graph, we consider the size of the largest connected $\alpha$-subset of $W$, where $X$ is an $\alpha$-subset of $W$ if $|X \cap W| \geq \alpha |X|$.
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Preprints, Working Papers, ...
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Contributor : Anthony Leverrier Connect in order to contact the contributor
Submitted on : Friday, December 22, 2017 - 10:52:24 AM
Last modification on : Saturday, September 11, 2021 - 3:18:10 AM

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  • HAL Id : hal-01671348, version 1
  • ARXIV : 1711.08351



Omar Fawzi, Antoine Grospellier, Anthony Leverrier. Efficient decoding of random errors for quantum expander codes. 2017. ⟨hal-01671348⟩



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