Associative Memory Based Image and Object Recognition by Quantum Holography

Author:

Loo Chu Kiong1,Peruš Mitja2,Bischof Horst2

Affiliation:

1. Faculty of Engineering and Technology, Multimedia University, MY-75450 Melaka, Malaysia

2. Institute for Computer Vision & Graphics, Graz University of Technology, Inffeldgasse 16/2, A-8010 Graz, Austria

Abstract

A quantum associative memory, much more natural than those of “quantum computers”, is presented. Neural-net-like processing with real-valued variables is transformed into processing with quantum waves. Successful computer simulations of image storage and retrieval are reported. Our Hopfield-like algorithm allows quantum implementation with holographic procedure using present-day quantum-optics techniques. This brings many advantages over classical Hopfield neural nets and quantum computers with logic gates.

Publisher

World Scientific Pub Co Pte Lt

Subject

Mathematical Physics,Statistics and Probability,Statistical and Nonlinear Physics

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pattern Classification with Holographic Neural Networks: A New Tool for Feature Selection;Studies in Big Data;2023

2. Recent Progress in Quantum Machine Learning;Limitations and Future Applications of Quantum Cryptography;2021

3. Field Computation in Natural and Artificial Intelligence;Encyclopedia of Complexity and Systems Science;2015

4. Bibliography;Quantum Machine Learning;2014

5. Quantum Pattern Recognition;Quantum Machine Learning;2014

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