Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Information Theory Pub Date : 2024-07-25 DOI:10.1109/TIT.2024.3433550
Ching-Yi Lai;Pin-Chieh Tseng;Wei-Hsuan Yu
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Abstract

In this paper, we explore the application of semidefinite programming to the realm of quantum codes, specifically focusing on codeword stabilized (CWS) codes with entanglement assistance. Notably, we utilize the isotropic subgroup of the CWS group and the set of word operators of a CWS-type quantum code to derive an upper bound on the minimum distance. Furthermore, this characterization can be incorporated into the associated distance enumerators, enabling us to construct semidefinite constraints that lead to SDP bounds on the minimum distance or size of CWS-type quantum codes. We illustrate several instances where SDP bounds outperform LP bounds, and there are even cases where LP fails to yield meaningful results, while SDP consistently provides tighter and relevant bounds. Finally, we also provide interpretations of the Shor-Laflamme weight enumerators and shadow enumerators for codeword stabilized codes, enhancing our understanding of quantum codes.
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纠缠辅助码元稳定量子编码大小的半无限编程边界
在本文中,我们探索了半定量编程在量子密码领域的应用,特别是侧重于具有纠缠辅助功能的码字稳定(CWS)密码。值得注意的是,我们利用 CWS 群的各向同性子群和 CWS 型量子密码的字算子集推导出了最小距离的上界。此外,我们还可以将这一特征纳入相关的距离枚举器中,从而构建出半有限约束,进而得出 CWS 型量子密码最小距离或大小的 SDP 约束。我们举例说明了 SDP 约束优于 LP 约束的几个实例,甚至在一些情况下,LP 无法得出有意义的结果,而 SDP 却能持续提供更严密的相关约束。最后,我们还解释了码字稳定编码的肖-拉夫拉姆权值枚举器和影子枚举器,加深了我们对量子编码的理解。
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来源期刊
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory 工程技术-工程:电子与电气
CiteScore
5.70
自引率
20.00%
发文量
514
审稿时长
12 months
期刊介绍: The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.
期刊最新文献
Table of Contents IEEE Transactions on Information Theory Publication Information IEEE Transactions on Information Theory Information for Authors Large and Small Deviations for Statistical Sequence Matching Derivatives of Entropy and the MMSE Conjecture
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