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相关论文: Quantum RNG Integration in an NG-PON2 Transceiver

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A high-speed random number generator (RNG) circuit based on magnetoresistive random-access memory (MRAM) using an error-correcting code (ECC) post processing circuit is presented. ECC post processing increases the quality of randomness by…

密码学与安全 · 计算机科学 2016-06-13 Tetsufumi Tanamoto , Naoharu Shimomura , Sumio Ikegawa , Mari Matsumoto , Shinobu Fujita , Hiroaki Yoda

Certifying random number generators is challenging, especially in security-critical fields like cryptography. Here, we demonstrate a measurement-device-independent quantum random number generator (MDI-QRNG) using high-dimensional photonic…

Pseudo-random number generators (PRNGs) are essential in a wide range of applications, from cryptography to statistical simulations and optimization algorithms. While uniform randomness is crucial for security-critical areas like…

密码学与安全 · 计算机科学 2025-01-03 Jianan Wu , Ahmet Yusuf Salim , Eslam Elmitwalli , Selçuk Köse , Zeljko Ignjatovic

Quantum random number (QRNG) beacons distinguish themselves from classical counterparts by providing intrinsic unpredictability originating from the fundamental laws of quantum mechanics. Most demonstrations have focused on certifiable…

量子物理 · 物理学 2021-08-30 Lac Nguyen , Jeevanandha Ramanathan , Michelle Mei Wang , Yong Meng Sua , Yuping Huang

In this work, we perform on-chip quantum random number generation (QRNG) that uses a novel differential amplifier configuration for conjugate homodyne detection. Leveraging separate integrated photonics and integrated analog circuit…

Security proofs of quantum key distribution (QKD) systems usually assume that the users have access to source of perfect randomness. State-of-the-art QKD systems run at frequencies in the GHz range, requiring a sustained GHz rate of…

量子物理 · 物理学 2015-04-30 A. Martin , B. Sanguinetti , C. C. W. Lim , R. Houlmann , H. Zbinden

In this work, we designed and experimentally verified a highly integrated broadband entropy source for a quantum random number generator (QRNG) based on vacuum fluctuations. The core of the entropy source is a hybrid…

量子物理 · 物理学 2026-05-04 Xuyang Wang , Yuqi Shi , Ning Wang , Jie Yun , Jiaxu Li , Yanxiang Jia , Shuaishuai Liu , Zhenguo Lu , Jun Zou , Yongmin Li

We present the realization of a physical quantum random number generator based on the process of splitting a beam of photons on a beam splitter, a quantum mechanical source of true randomness. By utilizing either a beam splitter or a…

This work presents two significant contributions from the perspectives of quantum random number generator (QRNG) manufacturers and users. For manufacturers, the conventional method of assessing the quantumness of single-photon-based QRNGs…

量子物理 · 物理学 2025-08-29 Goutam Paul , Nirupam Basak , Soumya Das

Quantum random number generators (QRNGs) based on semiconductor laser phase noise are an inexpensive and efficient resource for true random numbers. Commercially available technology allows for designing QRNG setups tailored to specific use…

量子物理 · 物理学 2026-01-21 Matthias Ostner , Innocenzo De Marco , Christian Roubal

Cryptographic random number generation is critical for any quantum safe encryption. Based on the natural uncertainty of some quantum processes, variety of quantum random number generators or QRNGs have been created with physical quantum…

量子物理 · 物理学 2023-03-03 Randy Kuang , Dafu Lou , Alex He , Chris McKenzie , Michael Redding

Quantum mechanics provides a secure means of generating random numbers, with applications in fields spanning scientific simulation to cryptography. The first source-device-independent monolithically integrated quantum random number…

We discuss the current state of the art of Quantum Random Number Generators (QRNG) and their possible applications in the search for quantum advantages. To this aim, we first discuss a possible way of benchmarking QRNG by applying them to…

With a growing interest in securing user data within the internet-of-things (IoT), embedded encryption has become of paramount importance, requiring light-weight high-quality Random Number Generators (RNGs). Emerging stochastic device…

Generating high-quality random numbers with a Gaussian probability distribution function is an important and resource consuming computational task for many applications in the fields of machine learning and Monte Carlo algorithms. Recently,…

新兴技术 · 计算机科学 2021-12-10 Punyashloka Debashis , Hai Li , Dmitri Nikonov , Ian Young

Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True Random Number Generators (TRNGs) produce truly random…

硬件体系结构 · 计算机科学 2022-06-07 F. Nisa Bostancı , Ataberk Olgun , Lois Orosa , A. Giray Yağlıkçı , Jeremie S. Kim , Hasan Hassan , Oğuz Ergin , Onur Mutlu

True random number generator (TRNG) plays a vital role in a variety of security applications and protocols. The security and privacy of an asset rely on the encryption, which solely depends on the quality of random numbers. Memory chips are…

密码学与安全 · 计算机科学 2019-03-27 B. M. S. Bahar Talukder , Joseph Kerns , Biswajit Ray , Thomas Morris , Md Tauhidur Rahman

This work presents new techniques to produce true random bits by exploiting single photon time of arrival. Two FPGA-based QRNG devices are presented: Randy which uses one discrete SPAD and LinoSPAD which uses a CMOS SPAD array, along with a…

Random number generation is an enabling technology for fields as varied as Monte Carlo simulations and quantum information science. An important application is a secure quantum key distribution (QKD) system; here, we propose and demonstrate…

量子物理 · 物理学 2018-10-05 Qiang Zhou , Raju Valivarthi , Caleb John , Wolfgang Tittel

This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing units (GPUs), developing an approach based on the xorgens generator to rapidly produce pseudo-random numbers of high statistical quality.…

分布式、并行与集群计算 · 计算机科学 2013-03-13 Nimalan Nandapalan , Richard P. Brent , Lawrence M. Murray , Alistair Rendell