Training a Quantum Neural Network
Abstract
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.
Cite
Text
Ricks and Ventura. "Training a Quantum Neural Network." Neural Information Processing Systems, 2003.Markdown
[Ricks and Ventura. "Training a Quantum Neural Network." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/ricks2003neurips-training/)BibTeX
@inproceedings{ricks2003neurips-training,
title = {{Training a Quantum Neural Network}},
author = {Ricks, Bob and Ventura, Dan},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {1019-1026},
url = {https://mlanthology.org/neurips/2003/ricks2003neurips-training/}
}