Title :
A Study on Learning with a Quantum Neural Network
Author :
Kinjo, Mitsunaga ; Sato, Shigeo ; Nakajima, Koji
Author_Institution :
Tohoku Univ., Sendai
Abstract :
A quantum neural network based on the adiabatic quantum computation is one of candidates to overcome the difficulty for developing a quantum computation algorithm. In this paper, we propose a new learning method for a quantum neural network inspired by Hebb learning. Preliminary but successful results by numerical simulations have been shown. The results indicate that a quantum learning like Hebb rule can be implemented.
Keywords :
Hebbian learning; neural nets; quantum computing; Hebb learning; adiabatic quantum computation; quantum learning; quantum neural network; Computer networks; Concurrent computing; Cost function; Learning systems; Neural networks; Neurons; Numerical simulation; Quantum computing; Quantum mechanics; Stationary state;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.246680
