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Characterization of a Quantum Random Number Generator Based on Vacuum Fluctuations

Maurício Jonas Ferreira, Nuno A. Silva, Armando N. Pinto, Nelson J. Muga

2021Applied Sciences19 citationsDOIOpen Access PDF

Abstract

Quantum random number generators (QRNGs) are currently in high demand across a large number of cryptographic applications as secure sources of true randomness. In this work, we characterize the conditions from which randomness can be extracted in a QRNG based on homodyne measurements of vacuum fluctuations by assessing the impact of experimental limitations, such as the digitizer resolution or the presence of excess local oscillator (LO) noise due to an unbalanced detection. Moreover, we propose an estimation method to quantify the excess entropy contribution introduced by an unbalanced detection and analyze the implementation of the post-processing algorithm. Finally, we submitted the generated numbers to a set of statistical tests to assess the quality of its output randomness and verified that it passes the standard libraries.

Topics & Concepts

RandomnessRandom number generationRandomness testsComputer scienceEntropy (arrow of time)Statistical physicsAlgorithmQuantumGenerator (circuit theory)PhysicsMathematicsQuantum mechanicsStatisticsPower (physics)Quantum Mechanics and ApplicationsQuantum Information and CryptographyChaos-based Image/Signal Encryption
Characterization of a Quantum Random Number Generator Based on Vacuum Fluctuations | Litcius