Optical fibre-based quantum random number generator: stochastic modelling and measurements.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Michał Dudek, Grzegorz Siudem, Grzegorz Kwaśnik, Wojciech Żołnowski, Marek T Życzkowski
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Abstract

In this work, we present a study of a quantum random number generation system based on a branching path approach with spatial superposition principle, realised using fibre optics. The analysis of the experimental system was supported by the development of a stochastic model of the entropy source, which, to the best of the authors' knowledge, has not yet been properly described. This resulted in the analytical equations for the probability of possible output quantum states depending on the initial properties of the system. Based on the presented model, the quantum efficiency and the Shannon entropy were calculated and compared with experimentally obtained values, which resulted in full agreement between these data. Additional statistical tests were performed on random numbers obtained theoretically and experimentally to confirm their high degree of randomness and their usability in cryptographic applications. The fact that the developed system is based on fibre optics allows it to operate in stable conditions with a final efficiency at the level of 15%, which provides a random number generation rate of about 8 kb/s. The developed system is used as an input to the quantum key distribution system, which has possible applications in cryptography or military and commercial secure communications.

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基于光纤的量子随机数发生器:随机建模与测量。
在这项工作中,我们提出了一种基于分支路径方法和空间叠加原理的量子随机数生成系统的研究,该系统使用光纤实现。对实验系统的分析得到了熵源随机模型的发展的支持,据作者所知,该模型尚未得到适当的描述。这导致了可能输出量子态的概率取决于系统的初始性质的解析方程。在此基础上,计算了量子效率和香农熵,并与实验结果进行了比较,结果与实验结果完全吻合。对理论和实验得到的随机数进行了额外的统计测试,以证实它们的高度随机性及其在密码学应用中的可用性。事实上,开发的系统是基于光纤的,这使得它能够在稳定的条件下运行,最终效率为15%,这提供了大约8 kb/s的随机数生成速率。该系统作为量子密钥分配系统的输入,在密码学或军事和商业安全通信中具有潜在的应用前景。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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