Encryption and decryption method based on continuous variable quantum neural network

Abstract

The invention discloses an encryption and decryption method based on a continuous variable quantum neural network. The method comprises the steps that the continuous variable quantum neural network isupdated; the sender and the continuous variable quantum neural network synchronously measure the basis; the continuous variable quantum neural network judges and preprocesses the plaintext sent by the sender and sends the plaintext back to the sender; the sender converts the preprocessed data information into a secondary plaintext on the basis of the synchronous measurement basis and sends the secondary plaintext to the continuous variable quantum neural network; the continuous variable quantum neural network encrypts the received information and sends the encrypted information to a receiver;and the receiver sends the encrypted information back to the continuous variable quantum neural network for decryption and obtains the information sent by the sender. By introducing a continuous variable quantum neural network model and a synchronous measurement technology, encryption and decryption of data are realized, and the method is high in reliability, good in security and easy to implement.

Description

Technical field [0001] The invention specifically relates to an encryption and decryption method based on a continuous variable quantum neural network. Background technique [0002] In the era of rapid development of information, network security has always been a hot topic and has become more and more important. In classical cryptography, most cryptographic algorithms are still based on "mathematically difficult" problems to enhance information security. However, the development of quantum computing poses a certain threat to these cryptographic algorithms based on mathematical complexity. Such as the well-known classic public key mechanism RSA, which uses the property that large numbers are difficult to be decomposed to improve the security of the algorithm. However, research has found that the quantum search algorithm Shor’s can decompose large numbers in polynomial time, which translates the classical NP problem into a P problem, which is a non-negligible threat to the RSA a...

AI Technical Summary

Problems solved by technology

[0005] However, none of the existing studies involve the application of continuous variable quantum neural networks in data encryption and decryption.

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