Effect of redundancy on syndrome-based decoding for QLDPC codes

Adding redundancy to the parity-check matrix representation has been shown to improve iterative decoder performance in the classical setting due to the consequent removal of small stopping sets or other structures that adversely affect the performance. In this paper, we examine the effect of redundancy on iterative syndrome decoder performance, with the goal of improving decoding for quantum LDPC codes. In particular, we provide a sufficient condition for the graph representation of a code to guarantee that the syndrome decoder converges to the input syndrome for any given input error.

Authors

Institutions

Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/istc65386.2025.11154620
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of redundancy on syndrome-based decoding for QLDPC codes

Tefjol Pllaha, Christine A. Kelley, Kirsten D. Morris
Error Correcting Code Techniques
article

Effect of redundancy on syndrome-based decoding for QLDPC codes

Tefjol Pllaha, Christine A. Kelley, Kirsten D. Morris
article en

Abstract

Adding redundancy to the parity-check matrix representation has been shown to improve iterative decoder performance in the classical setting due to the consequent removal of small stopping sets or other structures that adversely affect the performance. In this paper, we examine the effect of redundancy on iterative syndrome decoder performance, with the goal of improving decoding for quantum LDPC codes. In particular, we provide a sufficient condition for the graph representation of a code to guarantee that the syndrome decoder converges to the input syndrome for any given input error.

University of Nebraska–Lincoln (US), University of South Florida (US)
Openalex Percentile: Top 71%
Error Correcting Code Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.