A Quantum Random Switch

Abstract

The invention discloses a quantum random switch (quantum random switch, QRS). It mainly includes: half wave plate pair (HWP), convex lens pair (convex lens pair), electro-optic modulator (electronic‑optic modulator, EOM), polarized beam splitter (polarized beam splitter, PBS) and quantum Random number generator (quantum random number generator, QRNG). The phase change added by the quantum random number generator QRNG in the present invention makes the path of outgoing photons truly random; the present invention has the characteristics of simple structure and easy construction. The invention can be used in various experimental light paths, can be used in multiple wave bands, and has strong applicability.

Description

technical field [0001] The invention relates to the field of quantum optics, in particular to a quantum random switch for selection of a parameter light measurement base. Background technique [0002] Random numbers play an important role in various fields of modern society, such as scientific research, simulation computing, cryptography, etc.; for example, in many basic scientific experiments, some numerical simulations need to be performed in advance, which requires a large number of random numbers for Calculation, usually these random numbers are generated based on a certain algorithm and a string of random seeds, the output random numbers seem to be irrelevant, but actually have a very strong autocorrelation, so they are also called pseudo-random numbers; If this kind of pseudo-random number is used in learning, there will usually be a relatively large security risk. In quantum mechanics, a physical system can be in a superposition state. When a measurement operation is...

AI Technical Summary

Problems solved by technology

[0002] Random numbers play an important role in various fields of modern society, such as scientific research, simulation computing, cryptography, etc.; for example, in many basic scientific experiments, some numerical simulations need to be performed in advance, which requires a large number of random numbers for Calculation, usually these random numbers are generated based on a certain algorithm and a string of random seeds, the output random numbers seem to be irrelevant, but actually have a very strong autocorrelation, so they are also called pseudo-random numbers; If this kind of pseudo-random number is used in learning, there will usually be a greater security risk.

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