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Measure-Resend Semi-Quantum Private Comparison Scheme Using GHZ Class States

Lili Yan1,*, Yan Chang1, Shibin Zhang1, Qirun Wang2, Zhiwei Sheng1, Yuhua Sun1

School of Cybersecurity, Chengdu University of Information Technology, Chengdu, 610000, China.
School of Engineering and Technology, University of Hertfordshire, Hertford, UK.

*Corresponding Author: Lili Yan. Email: email.

Computers, Materials & Continua 2019, 61(2), 877-887. https://doi.org/10.32604/cmc.2019.06222

Abstract

Quantum private comparison is an important topic in quantum cryptography. Recently, the idea of semi-quantumness has been often used in designing private comparison protocol, which allows some of the participants to remain classical. In this paper, we propose a semi quantum private comparison scheme based on Greenberge-Horne-Zeilinger (GHZ) class states, which allows two classical participants to compare the equality of their private secret with the help of a quantum third party (server). In the proposed protocol, server is semi-honest who will follow the protocol honestly, but he may try to learn additional information from the protocol execution. The classical participants’ activities are restricted to either measuring a quantum state or reflecting it in the classical basis{0,1}. In addition, security and efficiency of the proposed schemes have been discussed.

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Cite This Article

APA Style
Yan, L., Chang, Y., Zhang, S., Wang, Q., Sheng, Z. et al. (2019). Measure-resend semi-quantum private comparison scheme using GHZ class states. Computers, Materials & Continua, 61(2), 877-887. https://doi.org/10.32604/cmc.2019.06222
Vancouver Style
Yan L, Chang Y, Zhang S, Wang Q, Sheng Z, Sun Y. Measure-resend semi-quantum private comparison scheme using GHZ class states. Comput Mater Contin. 2019;61(2):877-887 https://doi.org/10.32604/cmc.2019.06222
IEEE Style
L. Yan, Y. Chang, S. Zhang, Q. Wang, Z. Sheng, and Y. Sun, “Measure-Resend Semi-Quantum Private Comparison Scheme Using GHZ Class States,” Comput. Mater. Contin., vol. 61, no. 2, pp. 877-887, 2019. https://doi.org/10.32604/cmc.2019.06222

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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