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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

Pseudothermal Light Based Quantum Random Number Generator

Helin Ozel, Abdulrahman Dandasi, Kadir Durak

Published Oct 22, 2020• 0 citations
Publisher

Abstract

The importance of quantum random number generators (QRNGs) is increasing day by day. An important aspect of any QRNG is the speed of the system. This paper introduces the theory behind a pseudothermal light based QRNG. This pseudothermal effect is provided by using an optical scatterer in the setup. Pseudothermal light is used as the local oscillator of the system instead of a conventional coherent or thermal light source where the pseudothermal light combines the advantages of both sources. This technique converts the Poissonian distribution of light to super-Poissonian to have better randomness characteristics and allow a faster bit generation rate.

DOI
10.1109/ismsit50672.2020.9254508

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The importance of quantum random number generators (QRNGs) is increasing day by day. An important aspect of any QRNG is the speed of the system. This paper introduces the theory behind a pseudothermal light based QRNG. This pseudothermal effect is provided by using an optical scatterer in the setup. Pseudothermal light is used as the local oscillator of the system instead of a conventional coherent or thermal light source where the pseudothermal light combines the advantages of both sources. This technique converts the Poissonian distribution of light to super-Poissonian to have better randomness characteristics and allow a faster bit generation rate.
Quantum random number generators (QRNG) have important applications in cryptographic protocols, gaming and lotteries, among others. In contrast to pseudo-random number generators based on software, the sequence of random numbers generated is truly random. Most QRNG found in the literature are based on optoelectronic devices like single-photon sources and single-photon detectors. In this direction, the present dissertation deals with the theory and experiment QRNG based photonic systems, taking into account QRNG using discrete and continuous variables. In particular, three issues were considered: 1) a new model of continuous variable QRNG based on light polarization was proposed. 2) The performance of a QRNG employing only one single-photon detector, taking into account the afterpulsing and the quantum light state used, coherent or thermal, was realized. 3) A QRNG with binomial distribution was built.
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Abstract The speed of quantum random number generators (QRNGs) is a major concern for practical applications. In this work, we introduce scattering as a method to enhance the randomness characteristics of the entropy source. This method allows optical bit extraction with a faster sampling rate without compromising the randomness quality compared to the coherent source based balanced homodyne detection. Scattering is a probabilistic phenomenon which increases the chaotic behaviour of coherent sources. It broadens the distribution of photon statistics and makes it super-Poissonian. We show that a signal with super-Poissonian distribution has better randomness compared to a Poissonian one, indicated by their autocorrelation characteristics and the randomness test results. The use of scattering mechanisms as an entropy source eases the miniaturization of QRNGs, it also makes them compatible and adaptable to existing technologies.
Random Number Generators (QRNGs) represent a promising alternative to classical pseudorandom methods, providing a genuine source of randomness based on the fundamental principles of quantum mechanics.This article investigates a particular class of QRNGs -Optical Quantum Random Number Generators (OQRNGs) -which rely on phenomena such as quantum state superposition, wavefunction collapse, vacuum fluctuations, and Raman scattering to generate random bits.The architecture of these systems is analyzed in detail, along with the types of photon sources and detectors employed, as well as the entropy extraction mechanisms.Through a comparative approach, the advantages and limitations of each technology are highlighted: from the simplicity of implementation in beam-splitter-based generators to the high bit rates and scalability offered by systems using homodyne detection or Raman-based schemes.The study results indicate that OQRNGs can be successfully integrated into critical post-quantum security infrastructures, providing verifiable randomness that is fundamentally irreproducible by algorithmic means.In conclusion, optical quantum random number generators constitute a key step toward enhancing digital security by directly harnessing the fundamental uncertainty inherent in the physical nature of light.
Abstract Random number generation (RNG) is needed for a myriad of applications ranging from secure communication encryption to numerical simulations to sports and games. However, generating truly random numbers can be elusive. Pseudorandom bit generation using computer algorithms provides a high random bit generation rate. Nevertheless, the reliance on predefined algorithms makes it deterministic and predictable once initial conditions are known. Relying on physical phenomena (such as measuring electrical noise or even rolling dice) can achieve a less predictable sequence of bits. Furthermore, if the physical phenomena originate from quantum effects, they can be truly random and completely unpredictable due to quantum indeterminacy. Traditionally, physical RNG is significantly slower than pseudorandom techniques. To meet the demand for high‐speed RNG with perfect unpredictability, semiconductor light sources are adopted as parts of the sources of randomness, i.e., entropy sources, in quantum RNG (QRNG) systems. The high speed of their noise, the high efficiency, and the small scale of these devices make them ideal for chip‐scale QRNG. Here, the applications and recent advances of QRNG are reviewed using semiconductor emitters. Finally, the performance of these emitters is compared and discuss their potential in future technologies.