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Quantum Wavelet Transforms

Quantum Wavelet Transforms
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Copyright: 2021
Pages: 28
Source title: Examining Quantum Algorithms for Quantum Image Processing
Source Author(s)/Editor(s): HaiSheng Li (Guangxi Normal University, China)
DOI: 10.4018/978-1-7998-3799-2.ch005

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Abstract

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. This chapter firstly describes 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 DQWT based on the periodization extension is implemented. The complexity analysis shows that the proposed multi-level QWTs on 2n elements can be implemented by O(n3) basic operations. Simulation experiments demonstrate that the proposed QWTs are correct and effective.

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