An Approach to Cryptography Based on Continuous-Variable Quantum Neural Network
作者: Jinjing ShiShuhui ChenYuhu LuYanyan FengRonghua ShiYuguang YangJian Li
作者单位: 1School of Computer Science and Engineering, Central South University, 410083, Changsha, China
2Faculty of Information Technology, Beijing University of Technology, 100124, Beijing, China
3State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China
刊名: Scientific Reports, 2020, Vol.10 (1), pp.042311-363
来源数据库: Springer Nature Journal
DOI: 10.1038/s41598-020-58928-1
英文摘要: Abstract(#br)An efficient cryptography scheme is proposed based on continuous-variable quantum neural network (CV-QNN), in which a specified CV-QNN model is introduced for designing the quantum cryptography algorithm. It indicates an approach to design a quantum neural cryptosystem which contains the processes of key generation, encryption and decryption. Security analysis demonstrates that our scheme is security. Several simulation experiments are performed on the Strawberry Fields platform for processing the classical data “Quantum Cryptography” with CV-QNN to describe the feasibility of our method. Three sets of representative experiments are presented and the second experimental results confirm that our scheme can correctly and effectively encrypt and decrypt data with the optimal...
全文获取路径: Springer Nature  (合作)
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影响因子:2.927 (2012)

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