Decoding Quantum LDPC Codes Using Graph Neural Networks

Fuente: arXiv
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Main Authors: Ninkovic, Vukan, Kundacina, Ognjen, Vukobratovic, Dejan, Häger, Christian, Amat, Alexandre Graell i
Format: Preprint
Published: 2024
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author Ninkovic, Vukan
Kundacina, Ognjen
Vukobratovic, Dejan
Häger, Christian
Amat, Alexandre Graell i
author_facet Ninkovic, Vukan
Kundacina, Ognjen
Vukobratovic, Dejan
Häger, Christian
Amat, Alexandre Graell i
contents In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-based QLDPC decoders, the proposed GNN-based QLDPC decoder exploits the sparse graph structure of QLDPC codes and can be implemented as a message-passing decoding algorithm. We compare the proposed GNN-based decoding algorithm against selected classes of both conventional and neural-enhanced QLDPC decoding algorithms across several QLDPC code designs. The simulation results demonstrate excellent performance of GNN-based decoders along with their low complexity compared to competing methods.
format Preprint
id arxiv_https___arxiv_org_abs_2408_05170
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Decoding Quantum LDPC Codes Using Graph Neural Networks
Ninkovic, Vukan
Kundacina, Ognjen
Vukobratovic, Dejan
Häger, Christian
Amat, Alexandre Graell i
Quantum Physics
Information Theory
Machine Learning
In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-based QLDPC decoders, the proposed GNN-based QLDPC decoder exploits the sparse graph structure of QLDPC codes and can be implemented as a message-passing decoding algorithm. We compare the proposed GNN-based decoding algorithm against selected classes of both conventional and neural-enhanced QLDPC decoding algorithms across several QLDPC code designs. The simulation results demonstrate excellent performance of GNN-based decoders along with their low complexity compared to competing methods.
title Decoding Quantum LDPC Codes Using Graph Neural Networks
topic Quantum Physics
Information Theory
Machine Learning
url https://arxiv.org/abs/2408.05170