Encryption and decryption method and system with continuous-variable quantum neural network

US11251948B2 · kind B2 · utility

Assignee

• CENTRAL SOUTH UNIVERSITY · CN

Inventors

• Jinjing Shi · Changsha, CN
• Shuhui CHEN · Shanghai, CN
• Yanyan Feng · Changsha, CN
• Yuhu Lu · Changsha, CN
• Tongge Zhao · Changsha, CN
• Yongze Tang · Changsha, CN
• Zhenhuan Li · Changsha, CN
• Wenxuan Wang · Longbeilingcun, CN
• Wei Lai · Mountain View, US
• Duan Huang · Changsha, CN
• Ronghua Shi · Changsha, CN

Key dates

• Filing date: Jun 24, 2020
• Grant date: Feb 15, 2022
• Expiry date: Oct 20, 2040

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L9/302
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

A method and a system for encryption and decryption based on continuous-variable quantum neural network CVQNN. The method includes: updating a weight of the CVQNN with a training sample; triggering, by a sender, a legal measurement bases synchronization between the sender and the CVQNN; converting, by the sender, the information to be sent into a quadratic plaintext according to the synchronized measurement bases, and sending the quadratic plaintext to the CVQNN; encrypting, by the CVQNN, a received quadratic plaintext, and sending an encrypted quadratic plaintext to a receiver; after receiving the encrypted quadratic plaintext, sending by the receiver the encrypted quadratic plaintext to the CVQNN for decryption to obtain decrypted information. The embodiments implement data encryption and decryption by introducing CVQNN model and synchronization measurement technology. The embodiments provide advantages of high reliability, high security and easy realization.