2022
DOI: 10.1140/epjqt/s40507-022-00136-z
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Independent quality assessment of a commercial quantum random number generator

Abstract: We reverse-engineer, test and analyse hardware and firmware of the commercial quantum-optical random number generator Quantis from ID Quantique. We show that $>99\%$ > 99 % of its output data originates in physically random processes: random timing of photon absorption in a semiconductor material, and random growth of avalanche owing to impact ionisation. Under a strong assumption that these processes correspond to a measurement of an… Show more

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Cited by 3 publications
(2 citation statements)
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“…The generation of genuine randomness is crucial in many areas, such as cybersecurity, but also scientific mathematical modeling and gambling. Therefore, many efforts are invested in the development (and certification) of such devices, and several companies have them commercially available (by the time of writing this work) [ 21 ]. As usual, noise and imperfections conspire against their effectiveness.…”
Section: The Ideas Behind Quantum Probabilitymentioning
confidence: 99%
“…The generation of genuine randomness is crucial in many areas, such as cybersecurity, but also scientific mathematical modeling and gambling. Therefore, many efforts are invested in the development (and certification) of such devices, and several companies have them commercially available (by the time of writing this work) [ 21 ]. As usual, noise and imperfections conspire against their effectiveness.…”
Section: The Ideas Behind Quantum Probabilitymentioning
confidence: 99%
“…The first photonic QRNG called Quantis was produced by ID Quantique in 2001, and it is based on the standard beamsplitter experiment, see figs 1 and 2 in [4]. For an experimental analysis of the quality of Quantis, see [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%