Title: Continuous-variable quantum network coding protocol based on butterfly network model

Authors: Zhiguo Qu; Zhexi Zhang; Mingming Wang; Shengyao Wu; Xiaojun Wang

Addresses: Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computer Science, Xián Polytechnic University, Xián, 710048, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Electronic Engineering, Dublin City University, Dublin 9, Ireland

Abstract: With the development of quantum network, quantum continuous-variables have practical significance of improving communication. This paper proposes a new continuous-variable quantum network coding protocol (CVQNC) based on the butterfly network model with the hybrid channel of quantum channel and classical channel to realise the cross transmission of quantum information and classical information. The new protocol not only is conducive to the realisation of quantum network, but also can reduce the communication cost of quantum network effectively. It can be seen from the throughput and fidelity analysis that this protocol has a higher throughput than discrete-variable quantum network encoding scheme and classical information network encoding scheme. The ceiling of fidelity in this protocol is 4/9. According to the analysis of simple intercept attack and spectroscope attack, it is secure for the protocol to transmit quantum information and classical information by resisting on the eavesdropping attack of the third-party effectively.

Keywords: continuous-variable; network coding; quantum network coding; butterfly network model; quantum secure direct communication.

DOI: 10.1504/IJSNET.2020.104922

International Journal of Sensor Networks, 2020 Vol.32 No.2, pp.69 - 76

Received: 20 Jul 2019
Accepted: 02 Aug 2019
Published online: 06 Feb 2020 *

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