4.7 Article

Quantum multi-level wavelet transforms

期刊

INFORMATION SCIENCES
卷 504, 期 -, 页码 113-135

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2019.07.057

关键词

Quantum wavelet transform; Quantum computing; Transform methods; Signal processing

资金

  1. National Natural Science Foundation of China [61762012, 61462026, 61763014, 61762014]
  2. Science and Technology Project of Guangxi [2018JJA170083, 2018JJA170089]
  3. Innovation Project of Guangxi Graduate Education [JGY2019023]
  4. Fund for Distinguished Young Scholars of Jiangxi Province [2018ACB21013]
  5. National Key RD Plan [2018YFC1200205]

向作者/读者索取更多资源

The classical wavelet transform has been widely applied in the information processing field. It implies that quantum wavelet transform (QWT) may play an important role in quantum information processing. In this paper, we present the iteration equations of the general QWT using generalized tensor product. Then, Haar QWT (HQWT), Daubechies D4 QWT (DQWT), and their inverse transforms are proposed respectively. Meanwhile, the circuits of the two kinds of multi-level HQWT are designed. What's more, the multi-level HQWT based on the periodization extension is implemented for the first time. The complexity analysis shows that the proposed multi-level QWTs on 2(n) elements can be implemented by O(n(3)) basic operations. Simulation experiments demonstrate that the proposed QWTs are correct and effective. (C) 2019 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据