Applications of the Lambert-Tsallis Wq function in graph theory and quantum networks

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-04-15 Epub Date: 2025-02-18 DOI:10.1016/j.physa.2025.130468
J.L.E. da Silva
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Abstract

This work brings applications of the Lambert-Tsallis Wq function in graph theory and quantum networks. Initially, the function Wq is used to represent the k colorings of certain classes of chromatic graphs and to describe the positive real root of certain modified orbital polynomials of simple graphs, as well as determining the lower limit for the k colorings of a random graph G(n,m). Subsequently, we will present the disentropy and Renyi-based disentropy, functionals that use the Lambert-Tsallis function in their kernel, of a simple hypergraph in addition to showing the analytical relationship of the Renyi-based disentropy of this hypergraph with its spectral Zeta function. Finally, we will show that the function Wq can be used to quantify the quantum disentanglement of pure two-qubit states in random networks and in probability estimation in some networks with multipartite quantum entanglement percolation and optimal bit-flip correction.
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Lambert-Tsallis Wq函数在图论和量子网络中的应用
本文介绍了Lambert-Tsallis Wq函数在图论和量子网络中的应用。首先,用函数Wq表示某类色图的k个着色,描述简单图的若干修正轨道多项式的正实数根,确定随机图G(n,m)的k个着色的下限。随后,我们将介绍一个简单超图的逆熵和基于renyi的逆熵,即在其核中使用Lambert-Tsallis函数的泛函,并展示该超图的基于renyi的逆熵与其谱Zeta函数的解析关系。最后,我们将证明函数Wq可用于量化随机网络中纯双量子位态的量子解纠缠,以及在一些具有多部量子纠缠渗透和最优位翻转校正的网络中的概率估计。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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