基于IBM Q平台的量子图像算法研究  

Research on quantum image algorithm based on IBM Q

作　　者：任凤娟 滕奇志[1] 王正勇[1] 何小海[1] 周磊[1] REN Feng-Juan;TENG Qi-Zhi;WANG Zheng-Yong;HE Xiao-Hai;ZHOU Lei(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电子信息学院

出　　处：《四川大学学报（自然科学版）》2020年第1期89-95,共7页Journal of Sichuan University(Natural Science Edition)

基　　金：国家自然科学基金(61871279)

摘　　要：为使量子图像处理算法在量子计算机上得到验证与发展,结合IBM量子实验平台(IBM Q)上量子计算操作与量子图像处理理论的研究,设计了一种基于IBM Q平台的量子图像分割方法.提出了一种基于新型强化量子图像表达式(NEQR)的改进型强化量子图像表达式(IEQR),并根据IEQR表达式初始化量子图像分割电路.该电路由量子比较器(QBSC)和受控旋转门(Cswap)构成.最终在IBM Q和本地经典计算机仿真两种平台下实现了 2×2 和 4×4 大小的量子图像分割,实验结果表明了该算法的可行性和有效性,并验证了量子计算机的优越性.In order to develop and validate the quantum image processing algorithm on quantum computer, combined with quantum computing operation on IBM quantum experiment platform (IBM Q) and quantum image processing theory, a quantum image segmentation method based on IBM Q platform was designed. An improved enhanced quantum representation (IEQR) was proposed based on the existing novel enhanced quantum representation (NEQR). The quantum image segmentation circuit, which consists of the quantum bit string comparator (QBSC) and the Control-swap (Cswap) gate, is initialized according to the IEQR. Finally, quantum image segmentation of 2×2 and 4×4 size images are realized on IBM Q and local classical computer simulator. The experimental results demonstrate the feasibility and effectiveness of the algorithm and the superiority of quantum computers is validated.

关 键 词：量子图像 IBM量子实验平台 量子图像分割 NEQR表达式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]