光学 精密工程, 2019, 27 (7): 1492, 网络出版: 2019-09-02
量子随机数高斯噪声信号发生器
Quantum random number Gaussian noise signal generator
高斯噪声 单光子 随机数源 幅度谱 功率谱 Gauss noise single photon random number source amplitude spectrum power spectrum
摘要
现有的高斯噪声信号发生器都是采用数学计算的方式生成随机数的, 这种方式不能实现真正的随机信号, 与实际噪声信号不符。本文提出基于量子随机数的高斯噪声信号发生器, 通过单光子探测器对选择路径的光子信号的探测作为随机数的来源, 实现基于真随机的高斯噪声信号发生器。将得到的随机数经过WGN高斯算法处理得到高斯噪声信号, 在FPGA中使用verilog语言实现。对产生的噪声信号进行幅度谱和功率谱分析, 结果表明产生的噪声信号幅度值在0~255之间变化, 幅度谱服从高斯分布, 噪声信号的功率谱在20 dB上下均匀波动, 服从均匀分布, 满足高斯白噪声的特性。与现有的噪声信号发生器相比, 基于量子随机数的实现方式, 其随机数来源清晰, 能够做到真正的随机性, 为实现真随机数的高斯噪声信号发生器提供了一种简易的方案。
Abstract
The existing method used to generate Gaussian noise signals is to generate random numbers through mathematical calculation. However, this method cannot achieve a true random signal nor can it match the actual noise signal. In this study, a Gaussian noise signal generator based on a quantum random number is proposed. A single-photon detector detects the photon signal of the selected path as the source of the random number and realizes the Gaussian noise signal generator based on a true random number. The random number is processed by a weighted Girvan-Newman Gaussian algorithm to obtain the Gaussian noise signal, which is implemented using the Verilog language in a field programmable gate array. The results show that the amplitude of the generated noise signal varies from 0 to 255. A statistical analysis of the amplitude spectrum obeys the Gaussian distribution. The power spectrum of the noise signal fluctuates uniformly at approximately 20 dB and follows a uniform distribution, thus satisfying the characteristics of the Gaussian white noise. Compared with existing methods based on quantum random numbers, the source of the random number is distinct in the present case, and the proposed generator can achieve real randomness. A simple scheme for realizing a true random number for a Gaussian noise signal generator is therefore presented.
余恒炜, 孙晓娟, 王星辰, 蒋科, 吴忧, 程东碧, 石芝铭, 贾玉萍, 黎大兵. 量子随机数高斯噪声信号发生器[J]. 光学 精密工程, 2019, 27(7): 1492. YU Heng-wei, SUN Xiao-juan, WANG Xing-chen, JIANG Ke, WU-You, CHENG Dong-bi, SHI Zhi-ming, JIA Yu-ping, LI Da-bing. Quantum random number Gaussian noise signal generator[J]. Optics and Precision Engineering, 2019, 27(7): 1492.