Quantum random number Gaussian noise signal generator

Heng-wei YU; Xiao-juan SUN; Xing-chen WANG; Ke JIANG; You WU; Dong-bi CHENG; Zhi-ming SHI; Yu-ping JIA; Da-bing LI

doi:10.3788/OPE.20192707.1492

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Quantum random number Gaussian noise signal generator

Modern Applied Optics | 更新时间：2020-08-13

- Quantum random number Gaussian noise signal generator
- Optics and Precision Engineering Vol. 27, Issue 7, Pages: 1492-1499(2019)
- 作者机构：
  
  1.中国科学技术大学微电子学院，安徽合肥 230026
  2.中国科学院大学材料与光电研究中心，吉林长春 130033
  3.中国科学院长春光学精密机械与物理研究所发光学及应用国家重点实验室，吉林长春 130033
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20192707.1492
  CLC： O413; TN911.22
- Received：11 December 2018，
  
  Accepted：29 January 2019，
  
  Published：15 July 2019
- 稿件说明：
移动端阅览
Heng-wei YU, Xiao-juan SUN, Xing-chen WANG, et al. Quantum random number Gaussian noise signal generator[J]. Optics and precision engineering, 2019, 27(7): 1492-1499.
DOI：

Heng-wei YU, Xiao-juan SUN, Xing-chen WANG, et al. Quantum random number Gaussian noise signal generator[J]. Optics and precision engineering, 2019, 27(7): 1492-1499. DOI： 10.3788/OPE.20192707.1492.

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.

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references

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