Real‐time seedless post‐processing for quantum random number generators

Abstract Quantum‐proof randomness extraction is essential for handling quantum side information possessed by a quantum adversary, which is widely applied in various quantum cryptography tasks. In this study, the authors introduce a real‐time two‐source quantum randomness extractor against quantum side information. The authors’ extractor is tailored for forward block sources, a novel category of min‐entropy sources introduced in this work. These sources retain the flexibility to accommodate a broad range of quantum random number generators. The authors’ online algorithms demonstrate the extraction of a constant fraction of min‐entropy from two infinitely long independent forward block sources. Moreover, the authors’ extractor is inherently block‐wise parallelisable, presenting a practical and efficient solution for the timely extraction of high‐quality randomness. Applying the authors’ extractors to the raw data of one of the most commonly used quantum random number generators, a simulated extraction speed as high as 64 Gbps is achieved.

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Publication Details

Journal
IET Quantum Communication
Published
2024-12-01
DOI
https://doi.org/10.1049/qtc2.12118
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Real‐time seedless post‐processing for quantum random number generators

Qian Li, Hongyi Zhou
IET Quantum Communication
Quantum Computing Algorithms and Architecture
article

Real‐time seedless post‐processing for quantum random number generators

Qian Li, Hongyi Zhou
article en

Abstract

Abstract Quantum‐proof randomness extraction is essential for handling quantum side information possessed by a quantum adversary, which is widely applied in various quantum cryptography tasks. In this study, the authors introduce a real‐time two‐source quantum randomness extractor against quantum side information. The authors’ extractor is tailored for forward block sources, a novel category of min‐entropy sources introduced in this work. These sources retain the flexibility to accommodate a broad range of quantum random number generators. The authors’ online algorithms demonstrate the extraction of a constant fraction of min‐entropy from two infinitely long independent forward block sources. Moreover, the authors’ extractor is inherently block‐wise parallelisable, presenting a practical and efficient solution for the timely extraction of high‐quality randomness. Applying the authors’ extractors to the raw data of one of the most commonly used quantum random number generators, a simulated extraction speed as high as 64 Gbps is achieved.

IET Quantum CommunicationVol. 5(4)
Chinese Academy of Sciences (CN), Institute of Computing Technology (CN), Shenzhen Research Institute of Big Data (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 79%
Quantum Computing Algorithms and Architecture
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