Finite-size analysis of continuous variable source-independent quantum random number generation

Experimental measurement-device-independent quantum random number generation

The randomness from a quantum random number generator (QRNG) relies on the accurate characterization of its devices. However, device imperfections and inaccurate characterizations can result in wrong entropy estimation and bias in practice, which highly affects the genuine randomness generation and may even induce the disappearance of quantum randomness in an extreme case. Here we experimentall...

Finite-size analysis of measurement-device-independent quantum cryptography with continuous variables

Random Number Generation Using a Biased Source

We study random number generation using a biased source motivated by previous works on this topic, mainly, von Neumman (1951), Elias (1972), Knuth and Yao (1976) and Peres (1992). We study the problem in two cases: first, when the source distribution is unknown, and second, when the source distribution is known. In the first case, we characterize the functions that use a discrete random source ...

Finite Fields and Pseudo-Random Number Generation

The purpose of this set of notes is to show, as simply as possible, how the theory of finite fields applies to certain commonly used pseudo-random number generators. Only those parts of the theory of finite fields that are needed for this purpose are presented, and the development of the algebraic theory needed for this is greatly simplified for this purpose. I have tried to compose these notes...

Photon arrival time quantum random number generation

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