当前位置: X-MOL 学术Quantum Inf. Process. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A comment on “Quantum image processing?”
Quantum Information Processing ( IF 2.2 ) Pub Date : 2020-03-30 , DOI: 10.1007/s11128-020-02654-0
Hai-Sheng Li , Ping Fan , Hai-ying Xia , Ri-Gui Zhou

This comment analyzes and clarifies some questions proposed by Mastriani (Quantum Inf Process 16:27, 2017). These questions include the distinction between simulation verifications and quantum algorithms, the classical-to-quantum and quantum-to-classical interfaces, quantum measurement problem. Firstly, we propose that these questions are confusion, and even wrong. Then, we analyze the storage and computing performances of quantum Boolean image processing (QuBoIP), and conclude that QuBoIP has almost no significance for development of quantum image processing. Meanwhile, we describe how to verify the correctness of quantum algorithms using Matlab, and consider that the simulation verification of quantum algorithms is feasible on classic computers. Although quantum measurement is the open issue of quantum image processing, quantum image processing deserves further research and are significant. In conclusion, we believe that this comment is helpful for the developing of quantum image processing by clarifying these confusing questions proposed by Mario Mastriani.

中文翻译:

评论“量子图像处理?”

该评论分析和澄清了Mastriani提出的一些问题(Quantum Inf Process 16:27,2017)。这些问题包括仿真验证和量子算法之间的区别,经典到量子和量子到经典的接口,量子测量问题。首先,我们认为这些问题是混乱的,甚至是错误的。然后,我们分析了量子布尔图像处理(QuBoIP)的存储和计算性能,得出的结论是QuBoIP对于量子图像处理的发展几乎没有意义。同时,我们描述了如何使用Matlab验证量子算法的正确性,并认为在经典计算机上进行量子算法的仿真验证是可行的。尽管量子测量是量子图像处理的未解决问题,量子图像处理值得进一步研究,意义重大。总而言之,我们认为该评论通过阐明Mario Mastriani提出的这些令人困惑的问题,有助于量子图像处理的发展。
更新日期:2020-03-30
down
wechat
bug