Laser & Optoelectronics Progress, Volume. 59, Issue 5, 0527001(2022)

Raman Noise Analysis and Optimal Band Selection Algorithm for Wavelength Division Multiplexing Quantum Key Distribution

Xiaodong Zhou1, Songlei Zhang1, Xiaoming Fang1, Yuxiang Bian2,3、*, Bao Feng2,3, and Zhihao Liu4、**
Author Affiliations
  • 1Information and communication branch of State Grid Fujian Electic Power Co., Ltd., Fuzhou , Fujian 350003, China
  • 2Nanjing NARI Information & Communication Technology Co., Ltd., Nanjing , Jiangsu 210003, China
  • 3Nanjing NRGD Quantum Technology Co., Ltd., Nanjing , Jiangsu 210003, China
  • 4School of Computer Science and Engineering, Southeast University, Nanjing , Jiangsu 211189, China
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    Although classical-quantum channel multiplexing technology attempts to improve the channel use of quantum secure communication, noise crosstalk severely limits the quantum channel transmission efficiency. A combined optimisation method is used to optimise the channel allocation strategy based on channel Raman noise interference analysis, and an optimal band selection algorithm suited for the quantum key distribution system is proposed. The allocation of classical and quantum channels is adjusted and optimised using the proposed combinatorial optimisation algorithm based on the correlation between the noise and channel relative position to obtain a multi-band multiplexing scheme that minimises noise. Compared with the traditional dual band multiplexing scheme, the optimal multi band multiplexing scheme can effectively reduce the interference of classical light to quantum light between different frequency bands, so as to improve the key rate of channel transmission.

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    Xiaodong Zhou, Songlei Zhang, Xiaoming Fang, Yuxiang Bian, Bao Feng, Zhihao Liu. Raman Noise Analysis and Optimal Band Selection Algorithm for Wavelength Division Multiplexing Quantum Key Distribution[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0527001

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    Paper Information

    Category: Quantum Optics

    Received: Mar. 16, 2021

    Accepted: May. 27, 2021

    Published Online: Feb. 22, 2022

    The Author Email: Bian Yuxiang (nrgd_lw@163.com), Liu Zhihao (liuzhtopic@163.com)

    DOI:10.3788/LOP202259.0527001

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