A Miniaturized Random Number Generator Based on Laser Phase Noise

Abstract

The invention provides a laser phase noise-based miniature random number generator. The random number generator comprises a laser device, a coupler, a photoelectric detector, an analog-digital converter and a post-processing module, wherein the laser device generates continuous light or pulse light; the continuous light or the pulse light generates interference at the coupler, and phase noises are converted into an intensity signal; the coupler is connected with the photoelectric detector, and the intensity signal is subjected to photoelectric conversion through the photoelectric detector; the photoelectric detector is connected with the analog-digital converter, and the analog-digital converter performs quantification on an output electric signal of the photoelectric detector to obtain an initial random bit; and the post-processing module performs randomness optimization on the initial random bit to obtain a final random bit. Compared with the prior art, the random number generator has the advantages that an output result is stable, random number generation does not depend on polarization and phase compensation technologies, and the random number generation speed is high.

Description

technical field

[0001] The invention relates to a miniaturized random number generator based on laser phase noise, in particular to a miniaturized random number generator suitable for the application field of random numbers. Background technique

[0002] Random numbers play an important role in applications such as gaming, statistical sampling, and computing science, especially in the fields of cryptography, information security, and quantum secure communication. How to safely and reliably generate high-speed, high-quality random numbers is an important research direction of cryptography and even information security. It is a key technology for key security protection and has important theoretical research value and practical application requirements.

[0003] According to its generation method, the current random number generation scheme is mainly divided into two types: pseudo-random number and physical random number. Pseudo-random numbers are statistically seemingly rand...

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