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    Stochastic Resonance Decoding for Quantum LDPC Codes

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    StochasticResonanceQLDPC_FINAL.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Raveendran, Nithin
    Nadkarni, Priya J.
    Garani, Shayan Srinivasa
    Vasic, Bane
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2017
    Keywords
    Faulty hardware
    Gallager-B decoding
    quantum LDPC codes
    unreliable gates
    
    Metadata
    Show full item record
    Publisher
    IEEE
    Citation
    N. Raveendran, P. J. Nadkarni, S. S. Garani and B. Vasić, "Stochastic resonance decoding for quantum LDPC codes," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6. doi: 10.1109/ICC.2017.7996747
    Journal
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
    Rights
    Copyright © 2017, IEEE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We introduce a stochastic resonance based decoding paradigm for quantum codes using an error correction circuit made of a combination of noisy and noiseless logic gates. The quantum error correction circuit is based on iterative syndrome decoding of quantum low-density parity check codes, and uses the positive effect of errors in gates to correct errors due to decoherence. We analyze how the proposed stochastic algorithm can escape from short cycle trapping sets present in the dual containing Calderbank, Shor and Steane (CSS) codes. Simulation results show improved performance of the stochastic algorithm over the deterministic decoder.
    ISSN
    1550-3607
    DOI
    10.1109/ICC.2017.7996747
    Version
    Final accepted manuscript
    Sponsors
    IUSSTF under the Indo-US Joint R&D Network Joint Centre on Data Storage Research Award; NSF [CCF-1314147, ECCS-1500170]; Shakti Foundation (SSEF) [G15 SSEF-154]
    Additional Links
    http://ieeexplore.ieee.org/document/7996747/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2017.7996747
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