用于偏振编码量子密钥分配的硅基解码器

Chip Pub Date : 2023-03-01 DOI:10.1016/j.chip.2023.100039
Yongqiang Du , Xun Zhu , Xin Hua , Zhengeng Zhao , Xiao Hu , Yi Qian , Xi Xiao , Kejin Wei
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引用次数: 7

摘要

基于硅的偏振编码量子密钥分配(QKD)由于其低成本和鲁棒性的优点而被广泛研究。然而,鉴于在芯片上制造偏振独立元件的困难,以前的研究只采用片外器件来解调量子态或进行偏振补偿。在目前的工作中,提出了一种用于偏振编码QKD的全芯片解码器。该芯片实现了偏振状态分析器,并在不需要额外硬件的情况下补偿了BB84协议,该协议基于利用偏振分离器旋转器的偏振到路径转换方法。该芯片采用标准硅光子学铸造厂制造,设计紧凑,适合大规模生产。在实验稳定性测试中,通过在没有任何偏振反馈的情况下连续操作10小时,实现了0.59%的平均量子比特错误率。此外,当使用所开发的反馈算法时,该芯片能够自动补偿光纤偏振漂移,该算法由随机光纤偏振加扰器模拟。此外,在QKD演示的情况下,在100km的光纤线轴上实现了240bps的有限密钥保密率。这项研究标志着朝着集成、实用和大规模部署QKD系统迈出了重要一步。
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Silicon-based decoder for polarization-encoding quantum key distribution

Silicon-based polarization-encoding quantum key distribution (QKD) has been extensively studied due to its advantageous characteristics of its low cost and robustness. However, given the difficulty of fabricating polarized independent components on the chip, previous studies have only adopted off-chip devices to demodulate the quantum states or perform polarization compensation. In the current work, a fully chip-based decoder for polarization-encoding QKD was proposed. The chip realized a polarization state analyzer and compensated for the BB84 protocol without the requirement of additional hardware, which was based on a polarization-to-path conversion method utilizing a polarization splitter-rotator. The chip was fabricated adopting a standard silicon photonics foundry, which was of a compact design and suitable for mass production. In the experimental stability test, an average quantum bit error rate of 0.59% was achieved through continuous operation for 10 h without any polarization feedback. Furthermore, the chip enabled the automatic compensation of the fiber polarization drift when utilizing the developed feedback algorithm, which was emulated by a random fiber polarization scrambler. Moreover, a finite-key secret rate of 240 bps over a fiber spool of 100 km was achieved in the case of the QKD demonstration. This study marks an important step toward the integrated, practical, and large-scale deployment of QKD systems.

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