In view of the problems of high power,low computing power and low transmission and communication efficiency of quantum modules,the key technologies of low-power development of quantum modules are studied.The Gradient Ascent Pulse Engineering (GRAPE) algorithm is used to optimize the quantum gate,and the optimal pulse sequence is found through iterative calculation,which can improve the computing power and reduce the power consumption of the quantum module.Quantum Entanglement Feedback Control (QEFC) is used to optimize the quantum transmission communication,which can enhance the efficiency of communication and reduce the power consumption by monitoring and feeding back the quantum system.The experiment results show that the CZ accuracy of GRAPE algorithm can reach 96%.The average fidelity of the optimized QEFC model can reach 0.97 under amplitude damping interference and 0.92 under depolarization channel,which is much higher than before optimization.In the space plasma environment,the bit error rate after optimization is only 0.009,which is much lower than that before optimization.It can be seen that the computing power and transmission efficiency of the optimized quantum module can be greatly improved,thus reducing the power consumption.
Key words
quantum module /
GRAPE algorithm /
QEFC model
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 李雅.基于冷原子系综量子存储器性能优化的实验研究[D].太原:山西大学,2022.
[2] 窦通.基于量子—经典混合架构的卷积神经网络优化研究[D].广州:华南理工大学,2022.
[3] 王晓晗.非线性混沌网络系统的分散性能量子优化算法[J].吉林大学学报(信息科学版),2022,40(3):424-430.
[4] 张秀再,吴悦维,周丽娟,等.水溶性气溶胶对自由空间量子通信性能影响[J].高技术通讯,2023,33(3):292-297.
[5] 吴希.Grover量子搜索算法的线路优化及模拟平台的构建[D].扬州:扬州大学,2022.
[6] 郑星舟,罗明星.基于量子测量的量子计算模型综述[J].重庆邮电大学学报(自然科学版),2023,35(3):405-416.
[7] 孙振海.基于超导量子比特的最优化调控[D].杭州:浙江大学,2021.
[8] 蔚栋敏.基于进化算法实现多比特里德堡量子逻辑门的优化设计[D].上海:华东师范大学,2022.
[9] 聂敏,张彦朋,杨光,等.基于纠缠反馈控制的量子卫星通信性能优化策略[J].激光与光电子学进展,2021,58(5):272-279.
[10] 张彦朋.量子加密卫星通信星地链路抗干扰研究[D].西安:西安邮电大学,2021.