Xu Feihu, Qi Bing, Ma Xiongfeng, Xu He, Zheng Haoxuan, Lo Hoi-Kwong
Center for Quantum Information and Quantum Control, Department of Physics and Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada.
Opt Express. 2012 May 21;20(11):12366-77. doi: 10.1364/OE.20.012366.
A quantum random number generator (QRNG) can generate true randomness by exploiting the fundamental indeterminism of quantum mechanics. Most approaches to QRNG employ single-photon detection technologies and are limited in speed. Here, we experimentally demonstrate an ultrafast QRNG at a rate over 6 Gbits/s based on the quantum phase fluctuations of a laser operating near threshold. Moreover, we consider a potential adversary who has partial knowledge on the raw data and discuss how one can rigorously remove such partial knowledge with postprocessing. We quantify the quantum randomness through min-entropy by modeling our system and employ two randomness extractors--Trevisan's extractor and Toeplitz-hashing--to distill the randomness, which is information-theoretically provable. The simplicity and high-speed of our experimental setup show the feasibility of a robust, low-cost, high-speed QRNG.
量子随机数发生器(QRNG)可以通过利用量子力学的基本不确定性来生成真正的随机性。大多数QRNG方法采用单光子探测技术,并且在速度上受到限制。在此,我们通过实验展示了一种基于接近阈值运行的激光器的量子相位涨落、速率超过6 Gbit/s的超快QRNG。此外,我们考虑了一个对原始数据有部分了解的潜在对手,并讨论了如何通过后处理严格消除这种部分了解。我们通过对系统进行建模,利用最小熵来量化量子随机性,并采用两种随机数提取器——特雷维桑提取器和托普利兹哈希——来提取随机性,这在信息理论上是可证明的。我们实验装置的简单性和高速性表明了一种强大、低成本、高速QRNG的可行性。