Modeling for Performance Evaluation of Quantum Network

EasyChair Preprint no. 8489

Abstract

Quantum networks are emerging sciences and anticipated to be the core networking technologies in the future. Due to the difficulty of implementing quantum networks in a real way, because quantum devices are not widely available, they only exist within their own laboratories. In addition, they are very expensive and also need special environments that are not easy to obtain in other than laboratories. In this paper, we build a simulator using the language of Python programming to simulates quantum networks in terms of quantum devices such as repeaters, final node, and channels, where the behavior of these elements within the network is simulated for the purpose of sending quantum information represented by quantum bits, and therefore the work will be within the principle of graph and finally facilitate experiments on networks Quantum devices without the need for real physical devices. The most remarkable result emerged from the simulated data generated and detected is that the modeling process provides guidance for quantum networks design, characterization their protocols and their behavior. As a result of this study, we were able to simulate quantum network repeater and end node as well as quantum link (entanglement link) and implement some of quantum protocols like Quantum Key Distribution (QKD), Teleportation and quantum protocol. In the end, we concluded the possibility of simulate the behavior of quantum network, its devices and protocols, as well as implement it and develop the quantum applications an integrated study about the quantum internet and routing in it. In addition, we were able to develop quantum repeater protocol in order to enable end-to-end entanglement

Keyphrases: Entanglement Probability, Quantum Internet, quantum network, quantum simulation, Qubits

@Booklet{EasyChair:8489,
  author = {Shahad Hussein and Alharith Abdullah},
  title = {Modeling for Performance Evaluation of Quantum Network},
  howpublished = {EasyChair Preprint no. 8489},

  year = {EasyChair, 2022}}