Advanced Statistical Testing of Quantum Random Number Generators
| Autor: | Isaac Pérez Castillo, Rafael Díaz Hernández Rojas, Aldo C. Martínez, Jorge G. Hirsch, Alfred B. U'Ren, Aldo Solis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
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 |
| Zdroj: | Entropy Entropy, Vol 20, Iss 11, p 886 (2018) Volume 20 Issue 11 |
| ISSN: | 1099-4300 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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