Average scattering entropy of quantum graphs

Alison A. Silva, Fabiano M. Andrade, and Dionisio Bazeia
Phys. Rev. A 103, 062208 – Published 4 June 2021

Abstract

The scattering amplitude in simple quantum graphs is a well-known process which may be highly complex. In this work, motivated by the Shannon entropy, we propose a methodology that associates a graph with a scattering entropy, which we call the average scattering entropy. It is defined by taking into account the period of the scattering amplitude which we calculate using the Green's function procedure. We first describe the methodology on general grounds and then exemplify our findings considering several distinct groups of graphs. We go on and investigate other possibilities, one that contains groups of graphs with the same number of vertices, with the same degree, and the same number of edges, with the same length, but with distinct topologies and with different entropies. Another possibility we investigate contains graphs of the fishbone type, where the scattering entropy depends on the boundary conditions on the vertices of degree 1, with the corresponding values decreasing and saturating very rapidly as we increase the number of elementary structures in the graphs.

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  • Received 18 January 2021
  • Revised 21 April 2021
  • Accepted 27 May 2021

DOI:https://doi.org/10.1103/PhysRevA.103.062208

©2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyNetworksGeneral Physics

Authors & Affiliations

Alison A. Silva1,*, Fabiano M. Andrade1,2,†, and Dionisio Bazeia3,‡

  • 1Programa de Pós-Graduação Ciências/Física, Universidade Estadual de Ponta Grossa, 84030-900 Ponta Grossa, Paraná, Brazil
  • 2Departamento de Matemática e Estatística, Universidade Estadual de Ponta Grossa, 84030-900 Ponta Grossa, Paraná, Brazil
  • 3Departamento de Física, Universidade Federal da Paraíba, 58051-900 João Pessoa, Paraíba, Brazil

  • *alisonantunessilva@gmail.com
  • fmandrade@uepg.br
  • bazeia@fisica.ufpb.br

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Issue

Vol. 103, Iss. 6 — June 2021

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