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Quantum Information Processing

Applications of disentropy in the analysis of randomness generated by quantum random number generators

  • 01-03-2025
Published in:
Authors
S. T. de Oliveira
J. S. de Andrade
G. L. de Oliveira
R. V. Ramos
Published in
Quantum Information Processing | Issue 3/2025

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Abstract

This article delves into the critical role of randomness in various applications, from machine learning to cryptography. It introduces the concept of disentropy of the autocorrelation as a powerful tool for assessing the randomness of binary sequences generated by quantum random number generators (QRNGs). The study compares the performance of two types of QRNGs—a homemade device based on vacuum fluctuations and the Quantis QRNG from IDQuantique—using disentropy to measure randomness. The findings demonstrate that disentropy can effectively distinguish between biased and unbiased sequences, making it a reliable method for testing QRNGs. The article concludes by emphasizing the practical advantages of disentropy, including its computational simplicity and applicability to both discrete and continuous signals.
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previous article Quantum coherence and weak values based on rank-1 POVMs
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Title
Applications of disentropy in the analysis of randomness generated by quantum random number generators
Authors
S. T. de Oliveira
J. S. de Andrade
G. L. de Oliveira
R. V. Ramos
Publication date
01-03-2025
Publisher
Springer US
Published in
Quantum Information Processing / Issue 3/2025
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-025-04694-w
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