论文标题
量子图像处理：真相，全部真相，只有关于其内部图像表示问题和结果的真相
Quantum Image Processing: the truth, the whole truth, and nothing but the truth about its problems on internal image representation and outcomes recovering
论文作者
论文摘要
在本文中，比较了量子计算机中内部图像代理的三种技术：量子图像（FRQI）的灵活表示，新颖的增强数字图像（NEQR）的增强量子表示和量子布尔图像处理（QBIP）。在此比较中考虑了所有明显的技术项目，以进行完整分析：i）作为经典的量词（CL2QU）界面的性能，ii）所采用量子的特征，ii）所使用的内部注册表的稀疏性，iv）所需注册的数量和大小），v）恢复的出现，vi）的质量，vi）的数量，vi）的数量和vie and vii and Vii and vii and vii and vii and vii and vii and vi and Vii and vi and vi and累积累积。这些分析和示范会自动扩展到FRQI和NEQR的所有变体。这项研究证明了在物理量子计算机（QPU）上实施FRQI和NEQR的实际不可行性，而QBIP已证明在a）云上的四个主要量子模拟器上非常成功，b）两个QPU，c）来自三个实验室的光学电路。此外，QBIP还展示了其经济在其适当功能和稳健性所需的所需资源方面（对噪声的免疫力），实际上没有其他优势，没有任何例外。
In this paper, three techniques of internal image-representation in a quantum computer are compared: Flexible Representation of Quantum Images (FRQI), Novel Enhanced Quantum Representation of digital images (NEQR), and Quantum Boolean Image Processing (QBIP). All conspicuous technical items are considered in this comparison for complete analysis: i) performance as Classical-to-Quantum (Cl2Qu) interface, ii) characteristics of the employed qubits, iii) sparsity of the used internal registers, iv) number and size of the required registers, v) quality in the outcomes recovering, vi) number of required gates and its consequent accumulated noise, vi) decoherence, and vii) fidelity. These analyses and demonstrations are automatically extended to all variants of FRQI and NEQR. This study demonstrated the practical infeasibility in the implementation of FRQI and NEQR on a physical quantum computer (QPU), while QBIP has proven to be extremely successful on a) the four main quantum simulators on the cloud, b) two QPUs, and c) optical circuits from three labs. Moreover, QBIP also demonstrated its economy regarding the required resources needed for its proper function and its great robustness (immunity to noise), among other advantages, in fact, without any exceptions.
