Efficient decoding of random errors for quantum expander codes
November 22, 2017 Β· Declared Dead Β· π 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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