Study on Application of Quantum BP Neural Network to Curve Fitting

Zhixia Zhang, Yanchang Liu, Jianping Xie

Abstract


Based on the Quantum mechanics in a Quantum phase-shifted door and two negates controlled both general door, using them as the basic unit composed of activation function neural Network, this paper puts forward a Quantum state with input and output of the Quantum neuron Quantum state model and three layers of Quantum BP neural Network model of Network learning algorithm and performance to carry on the thorough study. Experimental results show that compared with BP neural Network, QBP appears quickly learn and convergent effect, with better fitting ability than the BP neural Network.

 

DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3388

 


Keywords


quantum gate; Quantum Neural Network; Quantum Back-propagation algorithm; curve fitting

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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