Title :
A study of quantum neural networks
Author :
Fei, Li ; Baoyu, Zheng
Author_Institution :
Inst. of Signal & Inf. Process., Nanjing Univ. of Posts & Telecommun., China
Abstract :
The study of quantum neural networks (QNN) may give us unprecedented possibilities in creating new systems for information processing. We describe a model for quantum neuron (QN) and discuss the quantum learning rule. It is demonstrated that this single quantum neuron is able to perform the XOR function unrealizable with a single classical neuron and has the same computational power as the two-layer perceptron.
Keywords :
learning (artificial intelligence); perceptrons; quantum computing; information processing; quantum learning rule; quantum neural networks; quantum neuron; two-layer perceptron; Artificial neural networks; Associative memory; Computer networks; Information processing; Neural networks; Neurons; Power system modeling; Quantum computing; Quantum mechanics; Signal processing;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279330
