Quantum Nondecimated Wavelet Transform: Theory, Circuits, and Applications
Brani Vidakovic

TL;DR
This paper introduces two quantum formulations of the nondecimated wavelet transform (NDWT), enabling shift-invariant multiscale analysis in quantum computing with applications in denoising and feature extraction.
Contribution
It develops novel quantum algorithms for NDWT that preserve classical properties like shift invariance and redundancy within quantum computation.
Findings
Quantum NDWT supports coherent postprocessing and shrinkage.
Two formulations enable direct access to multiscale spectra.
Applications include denoising and feature extraction in quantum signals.
Abstract
The nondecimated or translation-invariant wavelet transform (NDWT) is a central tool in classical multiscale signal analysis, valued for its stability, redundancy, and shift invariance. This paper develops two complementary quantum formulations of the NDWT that embed these classical properties coherently into quantum computation. The first formulation is based on the epsilon-decimated interpretation of the NDWT and realizes all circularly shifted wavelet transforms simultaneously by promoting the shift index to a quantum register and applying controlled circular shifts followed by a wavelet analysis unitary. The resulting construction yields an explicit, fully unitary quantum representation of redundant wavelet coefficients and supports coherent postprocessing, including quantum shrinkage via ancilla-driven completely positive trace preserving maps. The second formulation is based on…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Mathematical Analysis and Transform Methods
