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Efficient decoding of random errors for quantum expander codes

Published: 20 June 2018 Publication History

Abstract

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 |XE| ≥ α |X|.

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cover image ACM Conferences
STOC 2018: Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing
June 2018
1332 pages
ISBN:9781450355599
DOI:10.1145/3188745
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 20 June 2018

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Author Tags

  1. Decoding algorithm
  2. expander codes
  3. percolation
  4. quantum error correction

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STOC '18: Symposium on Theory of Computing
June 25 - 29, 2018
CA, Los Angeles, USA

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Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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