Quantum Bicycle LDPC Codes with High $kd^2/n$ from Divisor-Driven Search

๐Ÿ“… 2026-08-10
๐Ÿ“ˆ Citations: 0
โœจ Influential: 0
๐Ÿ“„ PDF
๐Ÿค– AI Summary
This work addresses the challenge of efficiently determining the dimension and distance of quantum Bicycle LDPC codes, which traditionally rely on group-algebraic constructions that hinder the discovery of high-performance short codes. The authors reformulate the construction of cyclic Bicycle codes as a purely algebraic problem in the polynomial ring $\mathbb{F}_2[x]/(x^\ell - 1)$. Exploiting the fact that self-orthogonality is automatically satisfied, they show that the code dimension is directly given by a polynomial greatest common divisor, while the distance can be precisely verified via the Calderbank correspondence mapping to additive codes over $\mathbb{F}_4$. This enables efficient pre-screening and systematic enumeration, bypassing group-theoretic limitations. For the first time, an exhaustive algebraic search of Bicycle codes becomes feasible, revealing the onset boundary of the co-set phenomenon and yielding new high-performance codes such as $[[66,20,7]]_2$ ($kd^2/n=14.85$) and $[[46,2,8]]_2$. A complete census at $n=48$ disproves the existence of a $[[48,10,5]]_2$ code, thereby clarifying fundamental construction limits.
๐Ÿ“ Abstract
Bicycle (two-block circulant) quantum low-density parity-check (LDPC) codes include some of the best known small quantum codes, yet their design has relied on group-algebra formulations in which the dimension and distance are accessible only through matrix computation. We show that in the cyclic case the construction collapses into the polynomial ring $\F_2[x]/(x^{l}-1)$: self-orthogonality is automatic, the quantum dimension is read off from a polynomial gcd, and the minimum distance is certified exactly through the Calderbank correspondence to additive codes over $\F_4$, turning code search into an algebraically pre-filtered enumeration that reaches parameter regimes poorly covered by existing tables. A computer search based on this framework recovers the short codes $[[42,12,4]]_2$ and $[[62,12,4]]_2$ and produces a family of codes with competitive figure of merit $kd^2/n$, including $[[66,20,7]]_2$ with $kd^2/n=14.85$, above the bivariate bicycle code $[[144,12,12]]_2$ ($kd^2/n=12$) at less than half the block length, together with $[[46,2,8]]_2$, $[[66,2,9]]_2$, $[[66,4,8]]_2$, $[[66,6,8]]_2$ and, at $n=90$, $[[90,16,6]]_2$, $[[90,18,6]]_2$, $[[90,20,6]]_2$. An exhaustive census at $n=48$ delineates the boundary of this picture: we exhibit a $[[48,10,6]]_2$ code from a minimal $48$-element group (the Aydin--Tamo--Barg realization uses $72$ elements), and prove that distance $5$ forces a stabilizer-rank loss, which excludes $[[48,10,5]]_2$ from the weight-$8$ symmetric coset family. The framework thus opens a systematic route to bicycle-type quantum LDPC codes beyond the reach of group-theoretic searches, and identifies exactly where genuinely coset-theoretic phenomena begin.
Problem

Research questions and friction points this paper is trying to address.

quantum LDPC codes
bicycle codes
code design
minimum distance
dimension
Innovation

Methods, ideas, or system contributions that make the work stand out.

quantum LDPC codes
Bicycle codes
polynomial ring construction
Calderbank correspondence
kd^2/n optimization
๐Ÿ”Ž Similar Papers
2024-08-19Citations: 0
๐Ÿ’ผ Related Jobs
No related jobs found.
L
Liangdong Lu
Department of Basic Science, Air Force Engineering University, Xiโ€™an, Shaanxi, P. R. China
G
Guanmin Guo
Department of Basic Science, Air Force Engineering University, Xiโ€™an, Shaanxi, P. R. China
Y
Yang Liu
Department of Basic Science, Air Force Engineering University, Xiโ€™an, Shaanxi, P. R. China
R
Ruipan Yang
Department of Basic Science, Air Force Engineering University, Xiโ€™an, Shaanxi, P. R. China