Advanced Statistical Testing of Quantum Random Number Generators
العنوان: | Advanced Statistical Testing of Quantum Random Number Generators |
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المؤلفون: | Isaac Pérez Castillo, Rafael Díaz Hernández Rojas, Aldo C. Martínez, Jorge G. Hirsch, Alfred B. U'Ren, Aldo Solis |
المصدر: | Entropy Entropy, Vol 20, Iss 11, p 886 (2018) Volume 20 Issue 11 |
بيانات النشر: | MDPI, 2018. |
سنة النشر: | 2018 |
مصطلحات موضوعية: | model selection, Random number generation, Computer science, Monte Carlo method, Bayesian inference, General Physics and Astronomy, lcsh:Astrophysics, Cryptography, 01 natural sciences, Article, 010104 statistics & probability, Bell inequalities, algorithmic complexity, Borel normality, random numbers, Quantum state, lcsh:QB460-466, 0103 physical sciences, 0101 mathematics, lcsh:Science, 010306 general physics, Quantum, Randomness, Statistical hypothesis testing, business.industry, lcsh:QC1-999, lcsh:Q, business, Algorithm, lcsh:Physics |
الوصف: | 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. |
وصف الملف: | application/pdf |
اللغة: | English |
تدمد: | 1099-4300 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3147a892bbf72cb8fa889573a3746376 http://europepmc.org/articles/PMC7512468 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....3147a892bbf72cb8fa889573a3746376 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 10994300 |
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