JOURNAL ARTICLE

Towards quantum template matching

Daniel CurtisDavid Meyer

Year: 2004 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE   Publisher: SPIE

Abstract

We consider the problem of locating a template as a subimage of a larger image. Computing the maxima of the correlation function solves this problem classically. Since the correlation can be calculated with the Fourier transform this problem is a good candidate for a superior quantum algorithmic solution. We outline how such an algorithm would work.

Keywords:
Computer science Fourier transform Quantum computer Algorithm Quantum Function (biology) Matching (statistics) Image (mathematics) Maxima and minima Work (physics) Theoretical computer science Mathematical optimization Artificial intelligence Mathematics Physics Quantum mechanics Mathematical analysis

Metrics

42
Cited By
3.86
FWCI (Field Weighted Citation Impact)
18
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Quantum Computing Algorithms and Architecture
Physical Sciences →  Computer Science →  Artificial Intelligence
Quantum Information and Cryptography
Physical Sciences →  Computer Science →  Artificial Intelligence
Computability, Logic, AI Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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