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Advanced Statistical Testing of Quantum Random Number Generators

Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and cryptography. The natural laws of the microscopic...

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Detalles Bibliográficos
Autores principales: Martínez, Aldo C., Solis, Aldo, Díaz Hernández Rojas, Rafael, U’Ren, Alfred B., Hirsch, Jorge G., Pérez Castillo, Isaac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512468/
https://www.ncbi.nlm.nih.gov/pubmed/33266609
http://dx.doi.org/10.3390/e20110886
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author Martínez, Aldo C.
Solis, Aldo
Díaz Hernández Rojas, Rafael
U’Ren, Alfred B.
Hirsch, Jorge G.
Pérez Castillo, Isaac
author_facet Martínez, Aldo C.
Solis, Aldo
Díaz Hernández Rojas, Rafael
U’Ren, Alfred B.
Hirsch, Jorge G.
Pérez Castillo, Isaac
author_sort Martínez, Aldo C.
collection PubMed
description Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and cryptography. The natural laws of the microscopic realm provide a fairly simple method to generate non-deterministic sequences of random numbers, based on measurements of quantum states. In practice, however, the experimental devices on which quantum random number generators are based are often unable to pass some tests of randomness. In this review, we briefly discuss two such tests, point out the challenges that we have encountered in experimental implementations and finally present a fairly simple method that successfully generates non-deterministic maximally random sequences.
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spelling pubmed-75124682020-11-09 Advanced Statistical Testing of Quantum Random Number Generators Martínez, Aldo C. Solis, Aldo Díaz Hernández Rojas, Rafael U’Ren, Alfred B. Hirsch, Jorge G. Pérez Castillo, Isaac Entropy (Basel) Article Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and cryptography. The natural laws of the microscopic realm provide a fairly simple method to generate non-deterministic sequences of random numbers, based on measurements of quantum states. In practice, however, the experimental devices on which quantum random number generators are based are often unable to pass some tests of randomness. In this review, we briefly discuss two such tests, point out the challenges that we have encountered in experimental implementations and finally present a fairly simple method that successfully generates non-deterministic maximally random sequences. MDPI 2018-11-17 /pmc/articles/PMC7512468/ /pubmed/33266609 http://dx.doi.org/10.3390/e20110886 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martínez, Aldo C.
Solis, Aldo
Díaz Hernández Rojas, Rafael
U’Ren, Alfred B.
Hirsch, Jorge G.
Pérez Castillo, Isaac
Advanced Statistical Testing of Quantum Random Number Generators
title Advanced Statistical Testing of Quantum Random Number Generators
title_full Advanced Statistical Testing of Quantum Random Number Generators
title_fullStr Advanced Statistical Testing of Quantum Random Number Generators
title_full_unstemmed Advanced Statistical Testing of Quantum Random Number Generators
title_short Advanced Statistical Testing of Quantum Random Number Generators
title_sort advanced statistical testing of quantum random number generators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512468/
https://www.ncbi.nlm.nih.gov/pubmed/33266609
http://dx.doi.org/10.3390/e20110886
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