Efficient decoding of random errors for quantum expander codes

November 22, 2017 Β· Declared Dead Β· πŸ› Symposium on the Theory of Computing

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Authors Omar Fawzi, Antoine Grospellier, Anthony Leverrier arXiv ID 1711.08351 Category quant-ph: Quantum Computing Cross-listed cs.IT Citations 49 Venue Symposium on the Theory of Computing Last Checked 3 months ago
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 ZΓ©mor 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 $Ξ±$-percolation: for a random subset $W$ of vertices of a given graph, we consider the size of the largest connected $Ξ±$-subset of $W$, where $X$ is an $Ξ±$-subset of $W$ if $|X \cap W| \geq Ξ±|X|$.
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