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Practical randomness amplification and privatisation with implementations on quantum computers

Foreman, Cameron; Wright, Sherilyn; Edgington, Alec; Berta, Mario; Curchod, Florian J; (2023) Practical randomness amplification and privatisation with implementations on quantum computers. Quantum , 7 , Article 969. 10.22331/q-2023-03-30-969. Green open access

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Abstract

We present an end-to-end and practical randomness amplification and privatisation protocol based on Bell tests. This allows the building of device-independent random number generators which output (near-)perfectly unbiased and private numbers, even if using an uncharacterised quantum device potentially built by an adversary. Our generation rates are linear in the repetition rate of the quantum device and the classical randomness post-processing has quasi-linear complexity – making it efficient on a standard personal laptop. The statistical analysis is also tailored for real-world quantum devices. Our protocol is then showcased on several different quantum computers. Although not purposely built for the task, we show that quantum computers can run faithful Bell tests by adding minimal assumptions. In this semi-device-independent manner, our protocol generates (near-)perfectly unbiased and private random numbers on today's quantum computers.

Type: Article
Title: Practical randomness amplification and privatisation with implementations on quantum computers
Open access status: An open access version is available from UCL Discovery
DOI: 10.22331/q-2023-03-30-969
Publisher version: https://doi.org/10.22331/q-2023-03-30-969
Language: English
Additional information: This Paper is published in Quantum under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). Copyright remains with the original copyright holders such as the authors or their institutions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10207582
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