Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)
Bob Ricks, Dan Ventura
Most proposals for quantum neural networks have skipped over the prob- lem of how to train the networks. The mechanics of quantum computing are different enough from classical computing that the issue of training should be treated in detail. We propose a simple quantum neural network and a training method for it. It can be shown that this algorithm works in quantum systems. Results on several real-world data sets show that this algorithm can train the proposed quantum neural networks, and that it has some advantages over classical learning algorithms.