Quantum random number generator

Versión 2.5.1 (3,53 KB) por Gorka Zubia Garea
This code returns a "n" amount of random numbers, which are obtained in real time from the ANU Quantum Random Numbers Server.
5.0
(2)
208 descargas
Actualizado 26 abr 2020
Ver licencia en GitHub

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Introduction
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The aim of this function is to provide real random numbers for sensitive applications, which cannot accept the pseudorandomness of Matlab's "randperm(N, K)"
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Description
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This function returns a row vector with "n" REAL RANDOM NUMBERS with values between [1-"n"] and NO REPETITION.
These random numbers are generated in real time (Internet connection is needed) from the Australian National University's Quantum Random Numbers Server.
The returned numbers can be "uint8" (0 to 255) or "uint16" (0 to 65,535) type of integers
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Elapsed time
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The function needs a random time to retrieve the asked array of numbers. As an illustration, using a computer with 6 cores, these are the obtained results for different scenarios:
########## Executed command ########## || ########## Elapsed time (s) ##########
>> quantumRandomGenerator( 1, 'uint8') 0.73
>> quantumRandomGenerator( 50, 'uint8') 0.73
>> quantumRandomGenerator( 100, 'uint8') 0.73
>> quantumRandomGenerator( 150, 'uint8') 0.73
>> quantumRandomGenerator( 200, 'uint8') 0.73
>> quantumRandomGenerator( 200, 'uint16') 35.95
>> quantumRandomGenerator( 852, 'uint16') 57.03
>> quantumRandomGenerator(4216, 'uint16') 53.22
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Citar como

Gorka Zubia Garea (2024). Quantum random number generator (https://github.com/gzubia/quantum-random-number-generator/releases/tag/2.5.1), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
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Versión Publicado Notas de la versión
2.5.1

See release notes for this release on GitHub: https://github.com/gzubia/quantum-random-number-generator/releases/tag/2.5.1
2.5.0

Timeout has been set to 'Inf' in order to avoid "time out" errors (line '59').
2.0.0

SOLVED: in line 70 the 'unique' function from Matlab returned the data ordered, destroying the randomness. To solve that, the flag 'stable' has been added

ok_rnd = unique(rnd(rnd<=n),'stable'); % Comprobation that any of the random number
1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.