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arXiv 1806.05166quant-ph
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基于偏振复用的独立于参考系和测量设备的量子密钥分发

Reference-frame-independent measurement-device-independent quantum key distribution based on polarization multiplexing

Hongwei Liu, Jipeng Wang, Haiqiang Ma, Shihai Sun

摘要:

与测量设备无关的量子密钥分发(MDI-QKD)被证明能够消除所有潜在的检测器侧信道攻击。与参考系无关(RFI)方案相结合,由于不需要对参考系进行对准,可以降低实际系统的复杂度。在此,基于偏振复用,我们提出了一种时间仓编码结构,并通过实验验证了RFI-MDI-QKD协议。由于这一点,可以区分四个Bell状态中的两个,而在以前的RFI-MDI-QKD实验中只有一个用于生成安全密钥。据我们所知,这是RFI-MDI-QKD协议的第一次演示,时钟频率为50 MHz,合法方Alice和Bob之间的距离超过一百公里。在渐近情况下,我们在160 km的传输距离上对RFI-MDI-QKD协议和原MDI-QKD协议在不同的参考系失调情况下进行了实验比较。综合考虑观测量和统计涨落,实验实现了传输距离为100 km和120 km的四强度诱饵态RFI-MDI-QKD协议。实验结果表明,该方案具有较好的鲁棒性,在参考系较大偏差的情况下,RFI-MDI-QKD系统的密钥传输率有明显提高。

英文摘要:

Measurement-device-independent quantum key distribution (MDI-QKD) is proved to be able to eliminate all potential detector side channel attacks. Combining with the reference frame independent (RFI) scheme, the complexity of practical system can be reduced because of the unnecessary alignment for reference frame. Here, based on polarization multiplexing, we propose a time-bin encoding structure, and experimentally demonstrate the RFI-MDI-QKD protocol. Thanks to this, two of the four Bell states can be distinguished, whereas only one is used to generate the secure key in previous RFI-MDI-QKD experiments. As far as we know, this is the first demonstration for RFI-MDI-QKD protocol with clock rate of 50 MHz and distance of more than hundred kilometers between legitimate parties Alice and Bob. In asymptotic case, we experimentally compare RFI-MDI-QKD protocol with the original MDI-QKD protocol at the transmission distance of 160 km, when the different misalignments of the reference frame are deployed. By considering observables and statistical fluctuations jointly, four-intensity decoy-state RFI-MDI-QKD protocol with biased bases is experimentally achieved at the transmission distance of 100km and 120km. The results show the robustness of our scheme, and the key rate of RFI-MDI-QKD can be improved obviously under a large misalignment of the reference frame.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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