Source irrelevant quantum random number generation method and device

Abstract

The invention provides a source irrelevant quantum random number generation method, which comprises the following steps: receiving a photon signal emitted via a source by a receiving end, and converting a multiphoton signal contained in the photon signal into an equivalent single-photon signal; carrying out X basis vector or Z basis vector modulation on the single-photon signal, and carrying out projection measurement on an X basis vector or Z basis vector; according to the measurement result of the Z basis vector, calculating an error rate; according to the measurement result of the X basis vector, obtaining parts of random binary string; obtaining the minimum entropy of the parts of random binary string, and carrying out aftertreatment to obtain a completely random binary string. The method disclosed by the invention does not need to depend on source hypothesis, a true random number guaranteed by quantum mechanics can be generated, and the method can tolerate high channel loss, and has high practical value. The invention also provides a source irrelevant quantum random number generation device.

Description

technical field [0001] The invention relates to the technical field of random number measurement, in particular to a method and device for generating a source-independent quantum random number. Background technique [0002] In the modern information society, random numbers play an important role in various fields such as economy, science, national defense, and industrial production. Specifically, it has very important applications in statistical analysis, simulation in industry and science, cryptography, and the gaming industry in life. The classic method can only generate pseudo-random numbers. From the point of view of its principle, pseudo-random numbers actually just "look like" random numbers, that is, with the current level of science and technology within a limited time, there is only a very small possibility distinguish their differences. However, their entropy is different in essence, so pseudo-random numbers cannot be used directly in many fields, because absolut...

AI Technical Summary

Problems solved by technology

However, these assumptions about the source cannot be verified in practice, which may cause a large loophole in the randomness of the generated random numbers.

And even if these assumptions hold, it is difficult in practice to guarantee that the source contains enough quantum randomness, and the resulting random numbers are not guaranteed

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