典型文献
Purification in entanglement distribution with deep quantum neural network
文献摘要：
Entanglement distribution is important in quantum communication.Since there is no information with value in this process,purification is a good choice to solve channel noise.In this paper,we simulate the purification circuit under true environment on Cirq,which is a noisy intermediate-scale quantum(NISQ)platform.Besides,we apply quantum neural network(QNN)to the state after purification.We find that combining purification and quantum neural network has good robustness towards quantum noise.After general purification,quantum neural network can improve fidelity significantly without consuming extra states.It also helps to obtain the advantage of entangled states with higher dimension under amplitude damping noise.Thus,the combination can bring further benefits to purification in entanglement distribution.
文献关键词：
中图分类号：
作者姓名：
Jin Xu;Xiaoguang Chen;Rong Zhang;Hanwei Xiao
作者机构：
Department of Communications Science and Engineering,Fudan University,Shanghai 200433,China
文献出处：
引用格式：
[1]Jin Xu;Xiaoguang Chen;Rong Zhang;Hanwei Xiao-.Purification in entanglement distribution with deep quantum neural network)[J].中国物理B（英文版）,2022(08):268-272
A类：
QNN
B类：
Purification,entanglement,distribution,deep,quantum,neural,network,Entanglement,important,communication,Since,there,information,value,this,process,purification,good,choice,solve,channel,noise,In,paper,we,simulate,circuit,under,true,environment,Cirq,which,noisy,intermediate,scale,NISQ,platform,Besides,apply,after,We,find,that,combining,has,robustness,towards,After,general,improve,fidelity,significantly,without,consuming,extra,states,It,also,helps,obtain,advantage,entangled,higher,dimension,amplitude,damping,Thus,combination,bring,further,benefits
AB值：
0.622033
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