Quantum random number generation

Xiongfeng Ma(Tsinghua University), Xiao Yuan(Tsinghua University), Zhu Cao(Tsinghua University), Bing Qi(Oak Ridge National Laboratory), Zhen Zhang(Tsinghua University)
npj Quantum Information
June 27, 2016
Cited by 418Open Access
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Abstract

Abstract Quantum physics can be exploited to generate true random numbers, which have important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum system reveals the inherent nature of quantumness—coherence, an important feature that differentiates quantum mechanics from classical physics. The generation of genuine randomness is generally considered impossible with only classical means. On the basis of the degree of trustworthiness on devices, quantum random number generators (QRNGs) can be grouped into three categories. The first category, practical QRNG, is built on fully trusted and calibrated devices and typically can generate randomness at a high speed by properly modelling the devices. The second category is self-testing QRNG, in which verifiable randomness can be generated without trusting the actual implementation. The third category, semi-self-testing QRNG, is an intermediate category that provides a tradeoff between the trustworthiness on the device and the random number generation speed.


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