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International Conference on Artificial Intelligence and Security

ICAIS 2019: Artificial Intelligence and Security pp 143–154Cite as

Multi-party Quantum Communication Complexity on Composite Boolean-Valued Function

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11635))

Abstract

The performance of communication complexity depends on the selected computation model. Even on the specific model the quantum communication complexity is not always better than the classical one. This paper investigates the quantum communication complexity based on a multi-party computation model of the composite Boolean-valued function. On this model we design a quantum distributed algorithm to obtain the upper bound of quantum communication complexity. The result shows that the performance gap between quantum and classical communication complexity depends on the infinity order of function domain’s square root and users’ number. In the best situation the performance of the quantum communication complexity wins the quadratic level of advantage than the classical one. And sometimes the classical way is more efficient than the quantum one.

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Acknowledgement

Supported by the National Natural Science Foundation of China under Grant Nos. 61501247, 61373131 and 61702277, the Six Talent Peaks Project of Jiangsu Province (Grant No. 2015-XXRJ-013), Natural Science Foundation of Jiangsu Province (Grant No. BK20171458), the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (China under Grant No. 16KJB520030), the NUIST Research Foundation for Talented Scholars under Grant Nos. 2015r014. Partially supported by the China-USA Computer Science Research Center.

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Authors and Affiliations

  1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu Province, People’s Republic of China

    Wenbin Yu, Wenjie Liu, Zhiguo Qu, Xiaolong Xu & Alex Xiangyang Liu

  2. The Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, 450015, Henan Province, People’s Republic of China

    Zangqiang Dong

  3. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 48824-1226, USA

    Wenbin Yu & Alex Xiangyang Liu

Authors
  1. Wenbin Yu
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  2. Zangqiang Dong
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  3. Wenjie Liu
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  4. Zhiguo Qu
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  5. Xiaolong Xu
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  6. Alex Xiangyang Liu
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Corresponding author

Correspondence to Wenbin Yu .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Yu, W., Dong, Z., Liu, W., Qu, Z., Xu, X., Liu, A.X. (2019). Multi-party Quantum Communication Complexity on Composite Boolean-Valued Function. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_14

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  • DOI: https://doi.org/10.1007/978-3-030-24268-8_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24267-1

  • Online ISBN: 978-3-030-24268-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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