Neural Processing Letters

, Volume 22, Issue 3, pp 277–290 | Cite as

An Examination of Qubit Neural Network in Controlling an Inverted Pendulum

  • Noriaki kouda
  • Nobuyuki Matsui
  • Haruhiko Nishimura
  • Ferdinand Peper


The Qubit neuron model is a new non-standard computing scheme that has been found by simulations to have efficient processing abilities. In this paper we investigate the usefulness of the model for a non linear kinetic control application of an inverted pendulum on a cart. Simulations show that a neural network based on Qubit neurons would swing up and stabilize the pendulum, yet it also requires a shorter range over which the cart moves as compared to a conventional neural network model.


inverted pendulum quantum neural network qubit swing up controll 



conventional neural network


quantum back propagation


qubit neural network


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Copyright information

© Springer 2005

Authors and Affiliations

  • Noriaki kouda
    • 1
  • Nobuyuki Matsui
    • 2
  • Haruhiko Nishimura
    • 3
  • Ferdinand Peper
    • 4
  1. 1.Matsue National College of TechnologyJapan
  2. 2.Division of Computer Engineering, Graduate School of Engineering, Himeji Institute of TechnologyUniversity of HyogoJapan
  3. 3.Graduate School of Applied InformaticsUniversity of HyogoJapan
  4. 4.National Institute of Information and Communications TechnologyJapan

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