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Associative Memory Based Image and Object Recognition by Quantum Holography

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.

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Loo, C.K., Peruš, M. & Bischof, H. Associative Memory Based Image and Object Recognition by Quantum Holography. Open Systems & Information Dynamics 11, 277–289 (2004). https://doi.org/10.1023/B:OPSY.0000047571.17774.8d

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  • DOI: https://doi.org/10.1023/B:OPSY.0000047571.17774.8d

Keywords

  • Statistical Physic
  • Mechanical Engineer
  • Computer Simulation
  • System Theory
  • Object Recognition