A Study on Learning with a Quantum Neural Network
M. Kinjo, Shigeo Sato, Kiyotaka Nakajima · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
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.