Application of a Quantum Amplitude Redistribution Algorithm to the Data Filtering Problem

TL;DR

This paper analyzes how a quantum amplitude redistribution algorithm can be applied to data filtering, comparing its operation to a median filter through modeling.

Contribution

It introduces the application of a quantum amplitude redistribution algorithm to data filtering and models its operation relative to median filtering.

Findings

Modeling shows potential advantages over classical median filters.

Quantum algorithm demonstrates comparable filtering effectiveness.

Analysis suggests feasibility of quantum approaches for data filtering tasks.

Abstract

This paper presents an analysis of the applicability of a quantum amplitude redistribution algorithm to the data filtering problem and the results of modeling the algorithm's operation in comparison with a median filter.