Remarks on Qubit neuron-based quantum neural servo controller

Takahashi Kazuhiko, Nagahashi Kazutaka, Yuka Wakaume +1 more

Koda Noriaki, Hasenaka Yoshiyuki, Nobuyuki Matsui +1 more

Kazuhiko Takahashi

This paper presents the servo controller design of using a quantum neural network and investigates its characteristics for control systems. A multi-layer quantum neural network that uses qubit neurons as an information processing unit is used to design three types of neural network-based servo controller: the direct controller, the parallel controller and the self-tuning controller. Computational experiments to control the nonlinear discrete-time plant are conducted in order to evaluate the learning performance and the capability of the quantum neural controller. The results of the computational experiments confirm both the feasibility and effectiveness of the quantum neural controllers.

Michael Warrington

Kazuhiko Takahashi, Nagahashi Kazutaka, Yuka Wakaume +1 more

This study focused on a controller application of a quantum neural network, using qubit neurons as an information processing unit, and investigated its characteristics when controlling a multiple-input and multiple-output (MIMO) nonlinear system. Using a multilayer quantum neural network, a direct controller that conducts the online training of the quantum neural network was investigated. Computational experiments on the control of a MIMO non-linear discrete-time plant were conducted to evaluate the performance of the quantum neural network-based controller. The experimental results confirmed the effectiveness of the proposed quantum neural network-based controller and elucidated its characteristics.

Subhash C. Kak