Quantum random number generator
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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
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- Sciences > Physics > Quantum Mechanics >
- Sciences > Chemistry > Quantum Computing >
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| Versione | Pubblicato | Note della release | |
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| 2.5.1 | See release notes for this release on GitHub: https://github.com/gzubia/quantum-random-number-generator/releases/tag/2.5.1 |
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| 2.5.0 | Timeout has been set to 'Inf' in order to avoid "time out" errors (line '59'). |
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| 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 |
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| 1.0.0 |
