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Flag codes have received a lot of attention due to its application in random network coding. In 2021, Alonso-Gonz\'{a}lez et al. constructed optimal $(n,\mathcal{A})$-Optimum distance flag codes(ODFC) for $\mathcal {A}\subseteq…

Discrete Mathematics · Computer Science 2024-10-14 Shuangqing Liu , Shuhui Yu , Lijun Ji

We present families of quantum error-correcting codes which are optimal in the sense that the minimum distance is maximal. These maximum distance separable (MDS) codes are defined over q-dimensional quantum systems, where q is an arbitrary…

Quantum Physics · Physics 2023-11-27 Markus Grassl , Thomas Beth , Martin Roetteler

An Orthogonally resolvable Matching Design OMD$(n, k)$ is a partition of the edges the complete graph $K_n$ into matchings of size $k$, called blocks, such that the blocks can be resolved in two different ways. Such a design can be…

Combinatorics · Mathematics 2017-07-21 Peter Danziger , Sophia Park

We prove that any Hermitian self-orthogonal $[n,k,d]_{q^2}$ code gives rise to an $[n,k,d]_{q^2}$ code with $\ell$ dimensional Hermitian hull for $0\le \ell \le k$. We present a new method to construct Hermitian self-orthogonal…

Information Theory · Computer Science 2021-05-20 Lin Sok

We consider the problem of constructing codes that can correct deletions that are localized within a certain part of the codeword that is unknown a priori. Namely, the model that we study is when at most $k$ deletions occur in a window of…

Information Theory · Computer Science 2021-05-07 Rawad Bitar , Serge Kas Hanna , Nikita Polyanskii , Ilya Vorobyev

We present some upper bounds on the size of non-linear codes and their restriction to systematic codes and linear codes. These bounds are independent of other known theoretical bounds, e.g. the Griesmer bound, the Johnson bound or the…

Information Theory · Computer Science 2016-11-18 Emanuele Bellini , Eleonora Guerrini , Massimiliano Sala

Constant-dimension codes have recently received attention due to their significance to error control in noncoherent random linear network coding. What the maximal cardinality of any constant-dimension code with finite dimension and minimum…

Information Theory · Computer Science 2010-03-31 Maximilien Gadouleau , Zhiyuan Yan

A linear code is said to be self-orthogonal if it is contained in its dual. Self-orthogonal codes are of interest because of their important applications, such as for constructing linear complementary dual (LCD) codes and quantum codes. In…

Information Theory · Computer Science 2023-12-08 Dengcheng Xie , Shixin Zhu , Yang Li

The list-decodable code has been an active topic in theoretical computer science.There are general results about the list-decodability to the Johnson radius and the list-decoding capacity theorem. In this paper we show that rates,…

Information Theory · Computer Science 2022-05-31 Hao Chen

In this paper we investigate known Singleton-like bounds in the Lee metric and characterize optimal codes, which turn out to be very few. We then focus on Plotkin-like bounds in the Lee metric and present a new bound that extends and…

Information Theory · Computer Science 2021-12-14 Eimear Byrne , Violetta Weger

In this paper, we construct four families of linear codes over finite fields from the complements of either the union of subfields or the union of cosets of a subfield, which can produce infinite families of optimal linear codes, including…

Information Theory · Computer Science 2021-08-24 Zhao Hu , Nian Li , Xiangyong Zeng , Lisha Wang , Xiaohu Tang

We demonstrate that certain Johnson-type bounds are asymptotically exact for a variety of classes of codes, namely, constant-composition codes, nonbinary constant-weight codes and multiply constant-weight codes. This was achieved via an…

Combinatorics · Mathematics 2014-01-21 Yeow Meng Chee , Fei Gao , Han Mao Kiah , Alan Chi Hung Ling , Hui Zhang , Xiande Zhang

Linear Complementary Dual codes (LCD) are binary linear codes that meet their dual trivially. We construct LCD codes using orthogonal matrices, self-dual codes, combinatorial designs and Gray map from codes over the family of rings $R_k$.…

Information Theory · Computer Science 2015-06-08 Steven T. Dougherty , Jon-Lark Kim , Buket Ozkaya , Lin Sok , Patrick Solé

We establish a connection between linear complementary dual (LCD) codes and caps in projective space. Using this framework and the structure theory of maximal caps, we derive nonexistence theorems for LCD codes with minimum distance at…

Information Theory · Computer Science 2026-04-07 Keita Ishizuka , Yuhi Kamio

This paper aims to construct optimal quaternary additive codes with non-integer dimensions. Firstly, we propose combinatorial constructions of quaternary additive constant-weight codes, alongside additive generalized anticode construction.…

Information Theory · Computer Science 2024-11-12 Chaofeng Guan , Jingjie Lv , Gaojun Luo , Zhi Ma

One of the main problems of the research area of network coding is to compute good lower and upper bounds of the achievable cardinality of so-called subspace codes in $\operatorname{PG}(n,q)$, i.e., the set of subspaces of $\mathbb{F}_q^n$,…

Combinatorics · Mathematics 2017-09-27 Daniel Heinlein , Sascha Kurz

Square COD (complex orthogonal design) with size $[n, n, k]$ is an $n \times n$ matrix $\mathcal{O}_z$, where each entry is a complex linear combination of $z_i$ and their conjugations $z_i^*$, $i=1,\ldots, k$, such that $\mathcal{O}_z^H…

Information Theory · Computer Science 2013-03-19 Yuan Li

Complex orthogonal designs (CODs) play a crucial role in the construction of space-time block codes. Their real analog, real orthogonal designs (or equivalently, sum of squares composition formula) have a long history. Adams et al. (2011)…

Information Theory · Computer Science 2023-07-10 Yiwen Gao , Yuan Li , Haibin Kan

The structure of maximal faces of the cone of completely positive matrices is still not well understood in higher dimensions, mainly due to the lack of a general characterization of extreme exposed rays of the copositive cone beyond small…

Optimization and Control · Mathematics 2026-03-11 O. I. Kostyukova , T. V. Tchemisova

Many canonical machine learning problems boil down to a convex optimization problem with a finite sum structure. However, whereas much progress has been made in developing faster algorithms for this setting, the inherent limitations of…

Optimization and Control · Mathematics 2016-07-01 Yossi Arjevani , Ohad Shamir