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Quantum demultiplexer of quantum parameter-estimation information in quantum networks

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Abstract

The quantum demultiplexer is constructed by a series of unitary operators and multipartite entangled states. It is used to realize information broadcasting from an input node to multiple output nodes in quantum networks. The scheme of quantum network communication with respect to phase estimation is put forward through the demultiplexer subjected to amplitude damping noises. The generalized partial measurements can be applied to protect the transferring efficiency from environmental noises in the protocol. It is found out that there are some optimal coherent states which can be prepared to enhance the transmission of phase estimation. The dynamics of state fidelity and quantum Fisher information are investigated to evaluate the feasibility of the network communication. While the state fidelity deteriorates rapidly, the quantum Fisher information can be enhanced to a maximum value and then decreases slowly. The memory effect of the environment induces the oscillations of fidelity and quantum Fisher information. The adjustment of the strength of partial measurements is helpful to increase quantum Fisher information.

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Acknowledgements

This work is supported by the National Natural Science Foundation of Jiangsu Province under Grant No. BK20170376, the Innovation Project of Graduate Education of Jiangsu Province No. JGLX15-150, the Qing Lan Project of Jiangsu Province and the Graduate Creative Projects in USTS No. SKYCX16-015 and No. SKCX5-06.

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou, 215009, Jiangsu, People’s Republic of China

    Yanqing Xie, Yumeng Huang, Yinzhong Wu & Xiang Hao

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  1. Yanqing Xie
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  2. Yumeng Huang
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  3. Yinzhong Wu
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  4. Xiang Hao
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Correspondence to Xiang Hao.

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Xie, Y., Huang, Y., Wu, Y. et al. Quantum demultiplexer of quantum parameter-estimation information in quantum networks. Quantum Inf Process 17, 108 (2018). https://doi.org/10.1007/s11128-018-1868-z

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