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International Conference on Artificial Intelligence and Security

ICAIS 2021: Artificial Intelligence and Security pp 144–154Cite as

Neural Network Study Quantum Synchronization and Quantum Correlation Under Non-zero Temperature

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12736))

Abstract

As an important part of quantum mechanics, quantum measurement can not only enable us to get the information of the quantum system, but also play an indispensable role in the control of the quantum system. The quantum synchronization phenomenon and the quantum correlation between the detector and the quantum system are very useful in quantum measurement process. However, there are still few studies on the nature of the quantum synchronization process and the realization of the classification of quantum synchronization. In this work, a two-qubit open system model which consists of a qubit system in a cavity and probing tool (another qubit) is proposed, the properties of quantum correlation are explored under non-zero temperature, and the characterizes of quantum synchronization also has been illustrated in different situation. It is shown the effect of different temperature for the quantum synchronization and the quantum correlation. Additionally, it is shown in the article that the process of synchronization under different parameter. Meanwhile, the artificial neural networks method is used to further study the classification of the quantum synchronization at non-zero temperature and it is shown an effective consequence. The results pave a way for subsequent research on the quantum synchronization and quantum correlation.

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Acknowledgement

Project supported by the National Key R&D Program of China, Grant No. 2018YFĂ703.

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Authors and Affiliations

  1. School of Physics, University of Electronic Science and Technology of China, Chengdu, 610054, People’s Republic of China

    Qing Yang, Qin-Sheng Zhu, Qing-Yu Meng & Yong Hu

  2. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, People’s Republic of China

    Xiao-Yu Li

Authors
  1. Qing Yang
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  2. Qin-Sheng Zhu
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  3. Qing-Yu Meng
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  4. Yong Hu
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  5. Xiao-Yu Li
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Corresponding author

Correspondence to Qin-Sheng Zhu .

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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

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Yang, Q., Zhu, QS., Meng, QY., Hu, Y., Li, XY. (2021). Neural Network Study Quantum Synchronization and Quantum Correlation Under Non-zero Temperature. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-78609-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78608-3

  • Online ISBN: 978-3-030-78609-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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