Quantum computation and quantum information
Quantum computation and quantum information
Qubit neural network and its learning efficiency
Neural Computing and Applications
Neural networks with quantum gated nodes
Engineering Applications of Artificial Intelligence
Explorations in Quantum Computing
Explorations in Quantum Computing
Recent progress in quantum algorithms
Communications of the ACM
A hybrid quantum evolutionary algorithm for solving engineering optimization problems
International Journal of Hybrid Intelligent Systems
Image Restoration Using a Multilayered Quantum Backpropagation Neural Network
CICN '11 Proceedings of the 2011 International Conference on Computational Intelligence and Communication Networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
This study presents an adaptive-type controller based on a quantum neural network and investigates its characteristics for control systems. A multi-layer quantum neural network which uses qubit neurons as an information processing unit is utilized to design three types of the adaptive-type quantum-neural-network-based controllers which conduct the learning of the quantum neural network as an online process: a direct controller, a parallel controller and an indirect controller. Computational experiments to control the single-input single-output non-linear discrete-time plant are conducted to evaluate the learning performance and capability of quantum neural controllers. The results of the computational experiments confirm the feasibility and effectiveness of adaptive-type quantum neural controllers.