Improved Real-time Post-Processing for Quantum Random Number Generators
Qian Li, Xiaoming Sun, Xingjian Zhang, and Hongyi Zhou

TL;DR
This paper introduces two novel quantum-proof randomness extractors tailored for reverse block sources, enabling real-time, high-speed post-processing of quantum random number generator data with improved efficiency and longer output sequences.
Contribution
The authors develop and demonstrate two new extractors for reverse block sources that outperform traditional methods in speed and output length, suitable for real-time quantum RNG post-processing.
Findings
Achieved extraction speeds up to 300 Gbps in simulations.
Designed extractors process data online without waiting for full input.
Significantly improved extraction efficiency compared to min-entropy based methods.
Abstract
Randomness extraction is a key problem in cryptography and theoretical computer science. With the recent rapid development of quantum cryptography, quantum-proof randomness extraction has also been widely studied, addressing the security issues in the presence of a quantum adversary. In contrast with conventional quantum-proof randomness extractors characterizing the input raw data as min-entropy sources, we find that the input raw data generated by a large class of trusted-device quantum random number generators can be characterized as the so-called reverse block source. This fact enables us to design improved extractors. Specifically, we propose two novel quantum-proof randomness extractors for reverse block sources that realize real-time block-wise extraction. In comparison with the general min-entropy randomness extractors, our designs achieve a significantly higher extraction speed…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Quantum Computing Algorithms and Architecture · Advanced Malware Detection Techniques
