论文标题

分析量子处理器内数字图像内部表示的五种技术

Analysis of five techniques for the internal representation of a digital image inside a quantum processor

论文作者

Iyengar, Sundaraja Sitharama, Kumar, Latesh K. J., Mastriani, Mario

论文摘要

在本文中,比较了五种用于代表量子处理器中数字图像的技术。这些技术是:量子图像(FRQI)的灵活表示,新型增强量子表示(NEQR),广义量子图像表示(GQIR),量子图像(MCQI)的多通道表示和量子布尔图像处理(QBIP)。该比较将基于对怪异模拟器的实现以及IBM Q体验处理器的实现,从性能,鲁棒性(噪声免疫)的角度,由于破坏性而导致的结果和技术可行性的降低。

In this paper, five techniques, for the representation of a digital image inside a quantum processor, are compared. The techniques are: flexible representation of quantum images (FRQI), novel enhanced quantum representation (NEQR), generalized quantum image representation (GQIR), multi-channel representation for quantum images (MCQI), and quantum Boolean image processing (QBIP). The comparison will be based on implementations on the Quirk simulator, and on the IBM Q Experience processors, from the point of view of performance, robustness (noise immunity), deterioration of the outcomes due to decoherence, and technical viability.

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