Generalized time-bin quantum random number generator with uncharacterized devices

Hamid Tebyanian*, Mujtaba Zahidy, Ronny Müller, Søren Forchhammer, Davide Bacco, Leif K. Oxenløwe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Random number generators (RNG) based on quantum mechanics are captivating due to their security and unpredictability compared to conventional generators, such as pseudo-random number generators and hardware-random number generators. This work analyzes evolutions in the extractable amount of randomness with increasing the Hilbert space dimension, state preparation subspace, or measurement subspace in a class of semi-device-independent quantum-RNG, where bounding the states’ overlap is the core assumption, built on the prepare-and-measure scheme. We further discuss the effect of these factors on the complexity and draw a conclusion on the optimal scenario. We investigate the generic case of time-bin encoding scheme, define various input (state preparation) and outcome (measurement) subspaces, and discuss the optimal scenarios to obtain maximum entropy. Several input designs were experimentally tested and analyzed for their conceivable outcome arrangements. We evaluated their performance by considering the device’s imperfections, particularly the after-pulsing effect and dark counts of the detectors. Finally, we demonstrate that this approach can boost the system entropy, resulting in more extractable randomness.

Original languageEnglish
Article number15
Number of pages19
JournalEPJ Quantum Technology
Volume11
Issue number1
DOIs
Publication statusPublished - 5 Mar 2024

Bibliographical note

© Crown 2024.

Funding Information:
This work is supported by the Center of Excellence SPOC (ref DNRF123), Innovations fonden project FireQ (No. 9090-00031B), and EraNET Cofund Initiatives QuantERA within the European Union’s Horizon 2020 research and innovation program grant agreement No. 731473 (project SQUARE). H. T. acknowledges the Innovate UK Industrial Strategy Challenge Fund (ISCF), project 106374-49229 AQuRand (Assurance of Quantum Random Number Generators).

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