Quantum Learning Machine
Quantum Physics
2008-03-31 v2
Abstract
We propose a novel notion of a quantum learning machine for automatically controlling quantum coherence and for developing quantum algorithms. A quantum learning machine can be trained to learn a certain task with no a priori knowledge on its algorithm. As an example, it is demonstrated that the quantum learning machine learns Deutsch's task and finds itself a quantum algorithm, that is different from but equivalent to the original one.
Cite
@article{arxiv.0803.2976,
title = {Quantum Learning Machine},
author = {Jeongho Bang and James Lim and M. S. Kim and Jinhyoung Lee},
journal= {arXiv preprint arXiv:0803.2976},
year = {2008}
}
Comments
4 pages, 8 figures; Revisions made to improve the introduction and motivation