脉冲激光相位涨落的量子随机数发生器

金振阳; 万相奎; 庞恺; 付梦晗; 陈柳平

doi:10.13756/j.gtxyj.2022.06.005

您当前的位置：

首页 >

文章列表页 >

脉冲激光相位涨落的量子随机数发生器

光通信系统与网络技术 | 更新时间：2023-01-29

- 脉冲激光相位涨落的量子随机数发生器
- Quantum Random Number Generator for Pulse Laser Phase Fluctuation
- 光通信研究 2022年第6期页码：27-34,63
- 作者机构：
  
  1.湖北工业大学　太阳能高效利用及储能运行控制湖北省重点实验室，武汉　430068
  2.国开启科量子技术(北京)有限公司，北京　102629
- 作者简介：
  
  金振阳(1998-)，男，湖北武汉人。硕士，主要研究方向为量子信息。
  万相奎，教授。E-mail：xkwan@hbut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61571182)
- DOI：10.13756/j.gtxyj.2022.06.005
  中图分类号： TN202; O413; TN918
- 纸质出版日期：2022-12-10，
  
  收稿日期：2022-03-22，
扫描看全文
金振阳, 万相奎, 庞恺, 等. 脉冲激光相位涨落的量子随机数发生器[J]. 光通信研究, 2022,(6):27-34,63.

JIN Zhen-yang, WAN Xiang-kui, PANG Kai, et al. Quantum Random Number Generator for Pulse Laser Phase Fluctuation[J]. Study on Optical Communications, 2022,(6):27-34,63.
金振阳, 万相奎, 庞恺, 等. 脉冲激光相位涨落的量子随机数发生器[J]. 光通信研究, 2022,(6):27-34,63. DOI： 10.13756/j.gtxyj.2022.06.005.

JIN Zhen-yang, WAN Xiang-kui, PANG Kai, et al. Quantum Random Number Generator for Pulse Laser Phase Fluctuation[J]. Study on Optical Communications, 2022,(6):27-34,63. DOI： 10.13756/j.gtxyj.2022.06.005.

摘要

针对目前量子随机数发生器(QRNG)无法同时满足量子密钥分发通信中对于随机数产生的高速及实时性需求的问题，文章改进了基于脉冲激光作为光源提取相位信息的QRNG方案，利用单模迈克尔逊干涉仪将随机相位信息转换成光强信息，再通过高速光电探测器(PD)转换为电信号，并采用16位250 MHz采样率的数/模转换器(ADC)以及50%的提取率，最终得到了1.1 Gbit/s的实时量子随机数产生速率。文章实现了一种高速、实时和集成化的QRNG设备，同时对比了该方案与连续激光作为光源在原理以及系统设计上的优势。基于脉冲激光光源的QRNG通过了我国信息通信研究院的各项测试，产品在稳定运行过程中所输出的随机数，均能通过国家密码管理局随机性测试文件GB/T 32915- 2016中规定的15项测试标准以及美国国家标准与技术研究院(NIST)检测标准。

Abstract

Aiming at the problem that the current Quantum Random Number Generator (QRNG) cannot simultaneously meet the high-speed and real-time requirements of random number generation in quantum key distribution communication

this paper improves the QRNG scheme based on pulse laser as light source to extract phase information. The random phase information is converted into light intensity information by single-mode Michelson interferometer

and then converted into electrical signal by high-speed Photo Detector (PD). Finally

the real-time quantum random number generation rate of 1.1 Gbit/s is obtained by using 16 bit Analog-to-Digital Converter (ADC) with 250 MHz sampling rate and 50% extraction rate. A high-speed

real-time and integrated QRNG equipment is realized. At the same time

the advantages of this scheme and continuous laser as light source in principle and system design are compared. QRNG based on pulsed laser light source has passed various tests of China Academy of Information and Communications. The random number output by the product in the process of stable operation can pass 15 test standards specified in the State Cryptography Administration randomness test document GB/T 32915-2016 and National Institute of Standards and Technology (NIST) test standards.

关键词

量子随机数发生器脉冲激光高速采样随机性测试

Keywords

QRNGpulse laserhigh speed samplingrandomness test

references

McCabe H, Koziol S M, Snider G L, et al. Tunable, Hardware-based Quantum Random Number Generation Using Coupled Quantum Dots[J]. IEEE Transactions on Nanotechnology, 2020, 19: 292-296.

Malik K, Pulikkotil J, Sharma A. Comparison of Pseudorandom Number Generators and Their Application for Uncertainty Estimation Using Monte Carlo Simulation[J]. MAPAN, 2021, 36(3): 1-16.

Lundow P H, Markström K. Efficient Computation of Permanents, with Applications to Boson Sampling and Random Matrices[J]. Journal of Computational Physics, 2022, 45: 00219991.

Petrie C, Connelly J. A Noise-based IC Random Number Generator for Applications in Cryptography[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2000, 47(5): 615-621.

Kanter I, Aviad Y, Reidler I, et al. An Optical Ultrafast Random Bit Generator[J]. Nature Photonics, 2010, 4(1): 58-61.

Argyris A, Pikasis E, Deligiannidis S, et al. Sub-tb/s Physical Random bit Generators based on Direct Detection of Amplified Spontaneous Emission Signals[J]. Lightwave Technol, 2012, 30: 1329-1334.

Naveen J, Shatheesh S. Provably Secure Data Sharing Approach for Personal Health Records in Cloud Storage Using Session Password, Data Access Key, and Circular Interpolation[J]. International Journal on Semantic Web and Information Systems (IJSWIS), 2021, 17(4): 76-98.

Stefanov A, Gisin N, Guinnard O, et al. Optical Quantum Random Number Generator[J]. Journal of Modern Optics, 2000, 47(4): 595-598.

Tisa S, Villa F, Giudice A, et al. High-speed Quantum Random Number Generation Using CMOS Photon Counting Detectors[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2015, 21(3): 23-29.

Huang M, Chen Z, Zhang Y, et al. A Phase Fluctuation based Practical Quantum Random Number Generator Scheme with Delay-Free Structure[J]. Applied Sciences, 2020, 10(7): 2431.

Guo X, Liu R, Li P, et al. Enhancing Extractable Quantum Entropy in Vacuum-based Quantum Random Number Generator[J]. Entropy, 2018, 20(11): 1-3.

Huang L, Zhou H, Feng K, et al. Quantum Random Number Cloud Platform[J]. npj Quantum Information, 2021, 7(1): 2431.

Abellá C, Amaya W, Jofre M, et al. Ultra-fast Quantum Randomness Generation by Accelerated Phase Diffusion in a Pulsed Laser Diode[J]. Optics Express, 2014, 22(2): 1645-1654.

国密随机性检测标准国密GMT 0062-2018 [EB/OL]. (2018-11-29) [2022-03-22]. https://blog.csdn.net/samsho2/article/details/84634065https://blog.csdn.net/samsho2/article/details/84634065.

Randomness Test Standard of State Cryptography Administration GMT 0062-2018 [EB/OL]. (2018-11-29) [2022-03-22]. https://blog.csdn.net/samsho2/article/details/84634065https://blog.csdn.net/samsho2/article/details/84634065.

Rukhin A, Soto J, Nechvatal J, et al. A Statistical Test Suite for Random and Pseudorandom Number Genera-tors for Cryptographic Applications[EB/OL]. (2001-05-15)[2022-03-22]. http: //csrc-nist.gov/groups/ST/toolkit/rng/documentation _soRware.htmlhttp: //csrc-nist.gov/groups/ST/toolkit/rng/documentation _soRware.html.

更多指标>

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据