摘要
利用遗传算法完成量子隐形传态电路的优化设计,提出一种新的一维编码模式,即利用码的位置信息来存储量子门的位置信息.这种编码模式与其他模式相比效率更高,编解码更方便,能很好地反映量子电路的结构,且容易推广到多位量子电路.设计了合适的适应度函数,分两部分判断电路的功能和性能,详细探讨了遗传算法的改进及相应实验结果,得到了更优的电路结构.
Optimum design of quantum teleportation circuit is achieved based on genetic algorithm,and a novel one-dimensional quantum coding mode is proposed to store the location information of quantum gates using the location information of codes.The method is more convenient than previous ones for coding and de-coding,and has high coding efficiency.It can well express the circuit structure,and is easy to be extended to multi-bit quantum circuits.A fitness function of the genetic algorithm is also presented with two parts to determine the function and performance of the quantum circuit.Experimental results are given to show that a better circuit structure has been obtained.
出处
《应用科学学报》
EI
CAS
CSCD
北大核心
2010年第3期313-317,共5页
Journal of Applied Sciences
基金
安徽省自然科学基金(No.090412038)
安徽省人才开发基金(No.2007Z028)资助
关键词
量子电路
遗传算法
量子隐形传态
quantum circuit
genetic algorithm
quantum teleportation