Quantum random number generator

This code returns a "n" amount of random numbers, which are obtained in real time from the ANU Quantum Random Numbers Server.
277 download
Aggiornato 26 apr 2020

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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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Cita come

Gorka Zubia Garea (2026). Quantum random number generator (https://github.com/gzubia/quantum-random-number-generator/releases/tag/2.5.1), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2019b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Quantum Mechanics in Help Center e MATLAB Answers
Versione Pubblicato Note della release
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.