Quantum Random Number Generator (QRNG): theoretical and experimental investigations

Quantum Random Number Generators (QRNGs) emerged as a promising solution for generating truly random numbers. In the present article, we give an overview of QRNGs highlighting the merits and demerits of various strategies briefly. Then opting for the best-case scenario, we present the in-depth exper...

Full description

Saved in:
Bibliographic Details
Published inEuropean physical journal plus Vol. 138; no. 9; p. 797
Main Authors Haider, Zeshan, Saeed, Muhammad Haroon, Zaheer, Muhammad Ehsan-ul-Haq, Alvi, Zeeshan Ahmed, Ilyas, Muhammad, Nasreen, Tahira, Imran, Muhammad, Islam, Rameez Ul, Ikram, Manzoor
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 11.09.2023
Springer Nature B.V
Subjects
20th century
Algorithms
Applied and Technical Physics
Atomic
Atoms & subatomic particles
Complex Systems
Condensed Matter Physics
Cryptography
Entropy
Mathematical and Computational Physics
Mathematical functions
Molecular
Noise
Optical and Plasma Physics
Physics
Physics and Astronomy
Quadratures
Quantum computing
Quantum physics
Quantum theory
Random numbers
Randomness
Regular Article
Theoretical
Online AccessGet full text

Cover

More Information
Summary:Quantum Random Number Generators (QRNGs) emerged as a promising solution for generating truly random numbers. In the present article, we give an overview of QRNGs highlighting the merits and demerits of various strategies briefly. Then opting for the best-case scenario, we present the in-depth experimental explorations for building and characterizing QRNG using the homodyne detection technique to measure the quadrature amplitude of quantum vacuum fluctuations. Since entropy assessment plays a fundamental role in authenticating the true randomness, a comprehensive description of entropy and how it evaluates the quality of randomness of the source is illustrated. Our experimental setup, apart from the hardware, includes a diverse set of testing techniques including NIST statistical/entropy suites, Dieharder tests battery, and autocorrelation coefficient to verify the randomness and statistical properties of the generated random numbers. We believe that our experimental investigations provide a valuable resource for building QRNGs for a wide range of applications.
ISSN:2190-5444
2190-5444
DOI:10.1140/epjp/s13360-023-04421-3