TY - GEN
T1 - A study on learning with a quantum neural network
AU - Kinjo, Mitsunaga
AU - Sato, Shigeo
AU - Nakajima, Koji
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=40649102471&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40649102471&partnerID=8YFLogxK
U2 - 10.1109/ijcnn.2006.246680
DO - 10.1109/ijcnn.2006.246680
M3 - Conference contribution
AN - SCOPUS:40649102471
SN - 0780394909
SN - 9780780394902
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 203
EP - 206
BT - International Joint Conference on Neural Networks 2006, IJCNN '06
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Joint Conference on Neural Networks 2006, IJCNN '06
Y2 - 16 July 2006 through 21 July 2006
ER -