Su Jie, Guo Xuchao, Liu Chengqi, Lu Shuhan, Li Lin
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Master of Health Informatics, School of Information, University of Michigan, Ann Arbor, MI, 48109, USA.
Sci Rep. 2021 Jul 6;11(1):13879. doi: 10.1038/s41598-021-93471-7.
Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) and plays an important role in quantum information processing. To address the problems that NCQI cannot handle images with inconsistent horizontal and vertical position sizes and multi-channel image processing, an improved color digital image quantum representation (INCQI) model based on NCQI is proposed in this paper. The INCQI model can process color images and facilitate multi-channel quantum image transformations and transparency information processing of images using auxiliary quantum bits. In addition, the quantum image control circuit was designed based on INCQI. And quantum image preparation experiments were conducted on IBM Quantum Experience (IBMQ) to verify the feasibility and effectiveness of INCQI quantum image preparation. The prepared image information was obtained by quantum measurement in the experiment, and the visualization of quantum information was successfully realized. The research in this paper has some reference value for the research related to QIP.
量子图像表示(QIR)是量子图像处理(QIP)的必要组成部分,在量子信息处理中起着重要作用。针对非相干量子彩色图像(NCQI)无法处理水平和垂直位置尺寸不一致的图像以及多通道图像处理的问题,本文提出了一种基于NCQI的改进型彩色数字图像量子表示(INCQI)模型。INCQI模型能够处理彩色图像,并利用辅助量子比特促进多通道量子图像变换以及图像的透明度信息处理。此外,基于INCQI设计了量子图像控制电路。并在IBM量子体验(IBMQ)上进行了量子图像制备实验,以验证INCQI量子图像制备的可行性和有效性。通过实验中的量子测量获得了制备的图像信息,成功实现了量子信息的可视化。本文的研究对与QIP相关的研究具有一定的参考价值。