量子随机数生成器的实时无籽后处理

IF 2.5 Q3 QUANTUM SCIENCE & TECHNOLOGY
Qian Li, Hongyi Zhou
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引用次数: 0

摘要

量子防随机性提取是处理量子对手所拥有的量子侧信息的关键,被广泛应用于各种量子密码任务中。在这项研究中,作者介绍了一种针对量子侧信息的实时双源量子随机性提取器。作者的提取器是为前向块源量身定制的,前向块源是本工作中引入的一种新型最小熵源。这些源保持灵活性,以适应广泛的量子随机数生成器。作者的在线算法证明了从两个无限长独立的前向块源中提取恒定分数的最小熵。此外,作者的提取器具有固有的块并行性,为及时提取高质量的随机性提供了一种实用而有效的解决方案。将作者的提取器应用于最常用的量子随机数生成器之一的原始数据,实现了高达64 Gbps的模拟提取速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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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CiteScore
6.70
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