Recursive expansion of Tanner graph: a method to construct stabilizer codes with high coding rate

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yi, Zhengzhong, Liang, Zhipeng, Wang, Zicheng, Chen, Jiahan, Qiu, Chen, Wu, Yulin, Wang, Xuan
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866914750068162560
author Yi, Zhengzhong
Liang, Zhipeng
Wang, Zicheng
Chen, Jiahan
Qiu, Chen
Wu, Yulin
Wang, Xuan
author_facet Yi, Zhengzhong
Liang, Zhipeng
Wang, Zicheng
Chen, Jiahan
Qiu, Chen
Wu, Yulin
Wang, Xuan
contents Quantum stabilizer codes face the problem of low coding rate. In this article, following the idea of recursively expanding Tanner graph proposed in our previous work, we try to construct new stabilizer codes with high coding rate, and propose XZ-type Tanner-graph-recursive-expansion (XZ-TGRE) code and Tanner-graph-recursive-expansion hypergraph product (TGRE-HP) code. XZ-TGRE code have zero asymptotic coding rate, but its coding rate tends to zero extremely slowly with the growth of code length. Under the same code length, its coding rate is much higher than that of surface code. The coding rate of TGRE-HP is the constant 0.2, which is the highest constant coding rate of stabilizer codes to our best knowledge. We prove that the code distance of XZ-TGRE code scales as $O(log(N))$, and that of TGRE-HP code scales as $O(\log \sqrt{N})$, where $N$ is the code length. Moreover, the code capacity noise threshold of XZ-TGRE code is around 0.078, and that of TGRE-HP code is around 0.096. This articles shows that the idea of recursively expanding Tanner graph might have potential to construct quantum codes with good performance.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07823
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Recursive expansion of Tanner graph: a method to construct stabilizer codes with high coding rate
Yi, Zhengzhong
Liang, Zhipeng
Wang, Zicheng
Chen, Jiahan
Qiu, Chen
Wu, Yulin
Wang, Xuan
Quantum Physics
Quantum stabilizer codes face the problem of low coding rate. In this article, following the idea of recursively expanding Tanner graph proposed in our previous work, we try to construct new stabilizer codes with high coding rate, and propose XZ-type Tanner-graph-recursive-expansion (XZ-TGRE) code and Tanner-graph-recursive-expansion hypergraph product (TGRE-HP) code. XZ-TGRE code have zero asymptotic coding rate, but its coding rate tends to zero extremely slowly with the growth of code length. Under the same code length, its coding rate is much higher than that of surface code. The coding rate of TGRE-HP is the constant 0.2, which is the highest constant coding rate of stabilizer codes to our best knowledge. We prove that the code distance of XZ-TGRE code scales as $O(log(N))$, and that of TGRE-HP code scales as $O(\log \sqrt{N})$, where $N$ is the code length. Moreover, the code capacity noise threshold of XZ-TGRE code is around 0.078, and that of TGRE-HP code is around 0.096. This articles shows that the idea of recursively expanding Tanner graph might have potential to construct quantum codes with good performance.
title Recursive expansion of Tanner graph: a method to construct stabilizer codes with high coding rate
topic Quantum Physics
url https://arxiv.org/abs/2402.07823