Nie You-Qi, Huang Leilei, Liu Yang, Payne Frank, Zhang Jun, Pan Jian-Wei
Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom.
Rev Sci Instrum. 2015 Jun;86(6):063105. doi: 10.1063/1.4922417.
The speed of a quantum random number generator is essential for practical applications, such as high-speed quantum key distribution systems. Here, we push the speed of a quantum random number generator to 68 Gbps by operating a laser around its threshold level. To achieve the rate, not only high-speed photodetector and high sampling rate are needed but also a very stable interferometer is required. A practical interferometer with active feedback instead of common temperature control is developed to meet the requirement of stability. Phase fluctuations of the laser are measured by the interferometer with a photodetector and then digitalized to raw random numbers with a rate of 80 Gbps. The min-entropy of the raw data is evaluated by modeling the system and is used to quantify the quantum randomness of the raw data. The bias of the raw data caused by other signals, such as classical and detection noises, can be removed by Toeplitz-matrix hashing randomness extraction. The final random numbers can pass through the standard randomness tests. Our demonstration shows that high-speed quantum random number generators are ready for practical usage.
量子随机数发生器的速度对于诸如高速量子密钥分发系统等实际应用至关重要。在此,我们通过在阈值水平附近操作激光器,将量子随机数发生器的速度提升至68 Gbps。为实现该速率,不仅需要高速光电探测器和高采样率,还需要非常稳定的干涉仪。为满足稳定性要求,我们开发了一种具有有源反馈而非普通温度控制的实用干涉仪。激光器的相位波动由配备光电探测器的干涉仪测量,然后以80 Gbps的速率数字化为原始随机数。通过对系统进行建模来评估原始数据的最小熵,并用于量化原始数据的量子随机性。由其他信号(如经典噪声和探测噪声)引起的原始数据偏差可通过Toeplitz矩阵哈希随机性提取来消除。最终的随机数能够通过标准随机性测试。我们的演示表明高速量子随机数发生器已可用于实际应用。