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The Development and Application of Quantum Masking

Tao Chen1,2, Zhiguo Qu1,2,*, Yi Chen1,2

1 School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China

* Corresponding Author: Zhiguo Qu. Email: email

Journal of Quantum Computing 2020, 2(3), 151-156. https://doi.org/10.32604/jqc.2020.015855

Abstract

To solve the problem of hiding quantum information in simplified subsystems, Modi et al. [1] introduced the concept of quantum masking. Quantum masking is the encoding of quantum information by composite quantum states in such a way that the quantum information is hidden to the subsystem and spreads to the correlation of the composite systems. The concept of quantum masking was developed along with a new quantum impossibility theorem, the quantum no-masking theorem. The question of whether a quantum state can be masked has been studied by many people from the perspective of the types of quantum states, the number of masking participants, and error correction codes. Others have studied the relationships between maskable quantum states, the deterministic and probabilistic masking of quantum states, and the problem of probabilistic masking. Quantum masking techniques have been shown to outperform previous strategies in quantum bit commitment, quantum multi-party secret sharing, and so on.

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Cite This Article

APA Style
Chen, T., Qu, Z., Chen, Y. (2020). The development and application of quantum masking. Journal of Quantum Computing, 2(3), 151-156. https://doi.org/10.32604/jqc.2020.015855
Vancouver Style
Chen T, Qu Z, Chen Y. The development and application of quantum masking. J Quantum Comput . 2020;2(3):151-156 https://doi.org/10.32604/jqc.2020.015855
IEEE Style
T. Chen, Z. Qu, and Y. Chen, “The Development and Application of Quantum Masking,” J. Quantum Comput. , vol. 2, no. 3, pp. 151-156, 2020. https://doi.org/10.32604/jqc.2020.015855



cc Copyright © 2020 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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