Encryption and decryption method based on continuous variable quantum neural network

A quantum neural, encryption and decryption technology, which is applied to synchronous sending/receiving encryption equipment and key distribution, can solve problems that do not involve continuous variable quantum neural network application research, etc., and achieve the effect of increasing difficulty, easy preparation, and easy realization

Active Publication Date: 2019-08-30
CENT SOUTH UNIV
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Problems solved by technology

[0005] However, none of the existing studies involve the application of con

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  • Encryption and decryption method based on continuous variable quantum neural network
  • Encryption and decryption method based on continuous variable quantum neural network
  • Encryption and decryption method based on continuous variable quantum neural network

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Embodiment Construction

[0044] In the continuous variable model, information is usually carried by bosons and expressed in quantum modes. Moreover, the continuous orthogonal amplitude of the quantified magnetic field can realize quantum state preparation, unitary operation, and quantum state measurement. Therefore, in quantum physics equipment, using continuous variable quantum neural networks is easier to implement than discrete neural networks.

[0045] A generalized continuous variable quantum neural network model such as figure 2 Shown. From figure 2 It can be seen that the continuous variable quantum neural network can have multiple neural layers. The size of the subsequent neural layers can be reduced by measuring the quantum state or removing the quantum state. The output quantum state will pass through the quantum measurement device to obtain the quantum state carrying Specific information.

[0046] Based on the generalized continuous variable quantum neural network model, the unitary operatio...

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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...

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Application Information

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IPC IPC(8): H04L9/08
CPCH04L9/0852H04L9/12H04L9/0618H04L9/0858H04L9/0869H04L9/302
Inventor 石金晶陈淑慧冯艳艳陆玉虎施荣华
Owner CENT SOUTH UNIV
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