Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Accelerating Q-ary Sliding-Window Belief Propagation Algorithm with GPU

Bowei Shan, Sihua Chen, Yong Fang

Published Jan 1, 2020• 1 citation
Publisher
DOI
10.1007/978-3-030-44751-9_1

Related papers

GPU Accelerated Parallel Algorithm of Sliding-Window Belief Propagation for LDPC Codes

Bowei Shan, Yong Fang

International Journal of Parallel Programming•Apr 4, 2019•8 citations

Unequally Weighted Sliding-Window Belief Propagation for Binary LDPC Codes

Zhaotun Feng, Bowei Shan, Yong Fang

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering•Jan 1, 2020•0 citations

GPU Accelerated Belief Propagation Decoding of Non-Binary LDPC Codes with Parallel and Sequential Scheduling

Moritz Beermann, Enrique Monzó, Laurent Schmalen +1 more

Journal of Signal Processing Systems•Aug 21, 2014•11 citations

Parallel versus sequential updating for belief propagation decoding

Haggai Kfir, Ido Kanter

arXiv:cond-mat/0207185•Physica A Statistical Mechanics and its Applications•Sep 22, 2003•97 citations

Non-Markov quantum belief propagation

Jack Ceroni, Ian MacCormack, Guillaume Verdon

We provide a rigorous proof of the approximate convergence of sliding-window quantum belief-propagation as outlined heuristically in the work of Bilgin and Poulin [Phys. Rev. B 81, 054106 (2010)], in the absence of the quantum Markov property. In particular, we confirm the hypothesis outlined in this work that the approximation error of each step in the belief-propagation algorithm decreases exponentially with the sliding-window size, under the assumption that the underlying state on which belief-propagation is being performed possesses a so-called thermal boundedness property: a relaxation of the Markov property required for exact convergence.

arXiv:2406.06360•Physical Review A•Jul 12, 2024•0 citations

Performance Comparison of LDPC Block and Spatially Coupled Codes Over GF $(q)$

Kechao Huang, David G. M. Mitchell, Lai Wei +2 more

In this paper, we compare the finite-length performance of protograph-based spatially coupled low-density paritycheck (SC-LDPC) codes and LDPC block codes (LDPC-BCs) over GF(q). To reduce computational complexity and latency, a sliding window decoder with a stopping rule based on a soft belief propagation (BP) estimate is used for the q-ary SC-LDPC codes. Two regimes are considered: one when the constraint length of q-ary SC-LDPC codes is equal to the block length of q-ary LDPC-BCs and the other when the two decoding latencies are equal. Simulation results confirm that, in both regimes, (3,6)-, (3,9)-, and (3,12)-regular non-binary SC-LDPC codes can significantly outperform both binary and non-binary LDPC-BCs and binary SC-LDPC codes. Finally, we present a computational complexity comparison of q-ary SC-LDPC codes and q-ary LDPC-BCs under equal decoding latency and equal decoding performance assumptions.

IEEE Transactions on Communications•Jan 28, 2015•45 citations
We provide a rigorous proof of the approximate convergence of sliding-window quantum belief-propagation as outlined heuristically in the work of Bilgin and Poulin [Phys. Rev. B 81, 054106 (2010)], in the absence of the quantum Markov property. In particular, we confirm the hypothesis outlined in this work that the approximation error of each step in the belief-propagation algorithm decreases exponentially with the sliding-window size, under the assumption that the underlying state on which belief-propagation is being performed possesses a so-called thermal boundedness property: a relaxation of the Markov property required for exact convergence.
Performance Comparison of LDPC Block and Spatially Coupled Codes Over GF (q)(q)(q)
In this paper, we compare the finite-length performance of protograph-based spatially coupled low-density paritycheck (SC-LDPC) codes and LDPC block codes (LDPC-BCs) over GF(q). To reduce computational complexity and latency, a sliding window decoder with a stopping rule based on a soft belief propagation (BP) estimate is used for the q-ary SC-LDPC codes. Two regimes are considered: one when the constraint length of q-ary SC-LDPC codes is equal to the block length of q-ary LDPC-BCs and the other when the two decoding latencies are equal. Simulation results confirm that, in both regimes, (3,6)-, (3,9)-, and (3,12)-regular non-binary SC-LDPC codes can significantly outperform both binary and non-binary LDPC-BCs and binary SC-LDPC codes. Finally, we present a computational complexity comparison of q-ary SC-LDPC codes and q-ary LDPC-BCs under equal decoding latency and equal decoding performance assumptions.