A new paradigm for classification tasks the 'race to the attractor' neural network model

2002 ◽  
Author(s):  
G. Ferland ◽  
T. Yeap
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
New Paradigm ◽  
Classification Tasks

A QUANTUM NEURAL NETWORK MODEL

2002 ◽  
Vol 13 (01) ◽  
pp. 75-88 ◽  
Author(s):  
M. ANDRECUT ◽  
M. K. ALI
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
General Problem ◽  
Learning Algorithms ◽  
Quantum Gates ◽  
Quantum Neural Network ◽  
Classification Tasks

We present the algorithms necessary for the implementation of a quantum neural network with learning and classification tasks. A complete implementation for the classification and learning algorithms is given in terms of unitary quantum gates. Such a quantum neural network can be used to perform complex classification tasks or to solve the general problem of binary mapping.

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