Random number generation method based on glass color sampling and quantum key distribution method

Abstract

The invention discloses a random number generation method based on glass color sampling. The random number generation method comprises the following steps: determining an input glass color sub-sourceof glass color sampling and a linear optical network required by evolution of the glass color sub-source; enabling the input glass color sub-source to pass through a linear optical network and detecting an output state by adopting a photon detector to obtain a sampling result of glass color sampling; performing post-processing on the detection result to obtain a corresponding random bit; and repeating the steps until a random number sequence with a specified length is obtained. The invention also discloses a quantum key distribution method comprising the random number generation method based on glass color sampling. According to the random number generation method based on the glass color sampling and the quantum key distribution method, the uniform unbiased quantum random number sequenceis generated by adopting the glass color sampling and post-processing process, and the random number generated by the random number generation method based on the glass color sampling is irrelevant toan input source, so that the random number generation method based on the glass color sampling is higher in safety, high in reliability, simple and easy to implement.

Description

technical field [0001] The invention belongs to the field of quantum technology, and in particular relates to a Bose sampling-based random number generation method and a quantum key distribution method. Background technique [0002] Random numbers play an important role and provide important resources in many fields, such as cryptography, genetics, simulation and so on. In the classical field, many random number generators based on deterministic algorithms have been proposed, such as linear congruential random number generators based on number theory, random number generators based on linear shift registers and their extensions, and so on. Although the principles of these methods are simple and the generation rate is fast, when the initial conditions or random seeds are leaked, the corresponding generated random numbers will also be leaked. And the results of the above methods are usually cyclical and can be predicted. In the application field of random number generators, ...

AI Technical Summary

Problems solved by technology

However, many of these methods are limited by the photon resolution capability of the photon number detector, and are closely related to the input source, and are easily affected by classical noise.

These problems make the reliability and security of these random number generators or generating methods not high

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