Image Compression by Layered Quantum Neural Networks

  • Authors:
  • Noriaki Kouda;Nobuyuki Matsui;Haruhiko Nishimura

  • Affiliations:
  • Department of Computer Engineering, Graduate School of Engineering, Himeji Institute of Technology, Japan. E-mail: kouda@comp.eng.himeji-tech.ac.jp;Department of Computer Engineering, Graduate School of Engineering, Himeji Institute of Technology, Japan. E-mail: matsui@comp.eng.himeji-tech.ac.jp;Studies of Information Science, Hyogo University of Education, Japan. E-mail: haru@life.hyogo-u.ac.jp

  • Venue:
  • Neural Processing Letters
  • Year:
  • 2002

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Abstract

We have proposed the qubit neuron model as a new scheme in non-standard computing. Identification problems have been investigated on neural networks constructed by this qubit neuron model, and we have found high processing abilities of them. In this paper, we evaluate the performance of the quantum neural network of large size in image compression problems to estimate the utility for the practical applications comparing with the conventional network consists of formal neuron model.