论文标题

具有嘈杂本地振荡器的连续变量量子随机数发生器的实用安全分析

Practical security analysis of a continuous-variable quantum random number generator with a noisy local oscillator

论文作者

Huang, Weinan, Zhang, Yi-Chen, Zheng, Ziyong, Li, Yang, Xu, Bingjie, Yu, Song

论文摘要

量子随机数发电机(QRNG)理论上可以生成具有完美设备的不可预测的随机数,并且是密码学随机数的理想且安全的来源。但是,实际实现始终包含瑕疵,这将极大地影响最终产出的随机性,甚至会影响窃听者的开放漏洞。最近,Thewes等。实验证明了基于杂作检测的连续变化的窃听攻击,该攻击是对物理中可信赖的连续变量qrng的。 Rev. A 100,052318(2019),但是就像在许多其他实用的连续变量QRNG研究中一样,他们始终认为当地振荡器是稳定的,并且忽略了其波动,这可能导致安全威胁,例如波长攻击。在这项工作中,基于条件最小渗透的理论,系统地分析了连续变量QRNG的实际安全性的缺陷,尤其是在不平衡的同源性检测下局部振荡器波动。证明了基于真空波动的实用QRNG的实验,以表明局部振荡器波动对总测量噪声方差的影响以及具有不同透射率的光束拆分器的实用条件最小渗透率。此外,为实用的连续变量QRNG提供了局部振荡器监测方法,该方法可用于校准实用的条件最小内整形。

A quantum random-number generator (QRNG) can theoretically generate unpredictable random numbers with perfect devices and is an ideal and secure source of random numbers for cryptography. However, the practical implementations always contain imperfections, which will greatly influence the randomness of the final output and even open loopholes to eavesdroppers. Recently, Thewes et al. experimentally demonstrated a continuous-variable eavesdropping attack, based on heterodyne detection, on a trusted continuous-variable QRNG in Phys. Rev. A 100, 052318 (2019), yet like in many other practical continuous-variable QRNG studies, they always supposed the local oscillator was stable and ignored its fluctuation which might lead to security threats such as wavelength attack. In this work, based on the theory of the conditional min-entropy, imperfections of the practical security of continuous-variable QRNGs are systematically analyzed, especially the local oscillator fluctuation under imbalanced homodyne detection. Experiments of a practical QRNG based on vacuum fluctuation are demonstrated to show the influence of local oscillator fluctuation on the total measurement noise variances and the practical conditional min-entropy with beam splitters of different transmittances. Moreover, a local oscillator monitoring method is proposed for the practical continuous-variable QRNG, which can be used to calibrate the practical conditional min-entropy.

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