Maximal diameter of integral circulant graphs

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Milan Bašić , Aleksandar Ilić , Aleksandar Stamenković
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引用次数: 0

Abstract

Integral circulant graphs are proposed as models for quantum spin networks enabling perfect state transfer. Understanding the potential information transfer between nodes in such networks involves calculating the maximal graph diameter. The integral circulant graph ICGn(D) has vertex set Zn={0,1,2,,n1}, with vertices a and b adjacent if gcd(ab,n)D, where D{d:d|n,1d<n}. Building on the upper bound 2|D|+1 for the diameter provided by Saxena, Severini, and Shparlinski, we prove that the maximal diameter of ICGn(D) for a given order n with prime factorization p1α1pkαk is r(n) or r(n)+1, where r(n)=k+|{i|αi>1,1ik}|. We show that a divisor set D with |D|k achieves this bound. We calculate the maximal diameter for graphs of order n and divisor set cardinality tk, identifying all extremal graphs and improving the previous upper bound.

积分圆周图的最大直径
积分圆周图被提出作为量子自旋网络的模型,可实现完美的状态转移。要了解此类网络中节点之间的潜在信息传递,需要计算最大图直径。积分圆周图有顶点集 ,如果 ,则顶点和相邻。基于 Saxena、Severini 和 Shparlinski 提供的直径上限,我们证明了对于一个给定阶素数因子化的最大直径为 或 ,其中 。我们证明了具有 的除数集可以达到这个界限。我们计算了阶和除数集心率为 的图的最大直径,找出了所有极值图,并改进了之前的上限。
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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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