2012
DOI: 10.1109/tit.2011.2169534
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Enhanced Feedback Iterative Decoding of Sparse Quantum Codes

Abstract: Abstract-Decoding sparse quantum codes can be accomplished by syndrome-based decoding using a belief propagation (BP) algorithm. We significantly improve this decoding scheme by developing a new feedback adjustment strategy for the standard BP algorithm. In our feedback procedure, we exploit much of the information from stabilizers, not just the syndrome but also the values of the frustrated checks on individual qubits of the code and the channel model. Furthermore we show that our decoding algorithm is superi… Show more

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Cited by 37 publications
(66 citation statements)
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“…2012 Wang et al [96] Feedback mechanism was introduced in the context of the heuristic methods of [95] to further improve the performance.…”
Section: Decoding 2008mentioning
confidence: 99%
See 1 more Smart Citation
“…2012 Wang et al [96] Feedback mechanism was introduced in the context of the heuristic methods of [95] to further improve the performance.…”
Section: Decoding 2008mentioning
confidence: 99%
“…short cycles and symmetric degeneracy error, which were further improved in [96]. The major contributions made in the context of QLDPC codes are summarized in Table III, while the most promising QLDPC construction methods are compared in Table IV 16 .…”
Section: Decoding 2014mentioning
confidence: 99%
“…The error-correcting performance of a degenerate quantum error-correcting code can be improved by modifying a decoding algorithm properly [2], [3]. The degeneracy becomes more relevant when stabilizer operators of a quantum code have low weight [2], and therefore some quantum low-density parity check codes are highly degenerate.…”
Section: Introductionmentioning
confidence: 99%
“…By the way, the sumproduct algorithm itself does not consider the degeneracy. To exploit the degeneracy of binary quantum low-density parity check codes, two methods [2], [3] have been proposed, and the error-correcting performance by these methods is much better.…”
Section: Introductionmentioning
confidence: 99%
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