Coherent control using adaptive learning algorithms
Quantum Physics
2009-11-06 v2
Abstract
We have constructed an automated learning apparatus to control quantum systems. By directing intense shaped ultrafast laser pulses into a variety of samples and using a measurement of the system as a feedback signal, we are able to reshape the laser pulses to direct the system into a desired state. The feedback signal is the input to an adaptive learning algorithm. This algorithm programs a computer-controlled, acousto-optic modulator pulse shaper. The learning algorithm generates new shaped laser pulses based on the success of previous pulses in achieving a predetermined goal.
Cite
@article{arxiv.quant-ph/0008029,
title = {Coherent control using adaptive learning algorithms},
author = {B. J. Pearson and J. L. White and T. C. Weinacht and P. H. Bucksbaum},
journal= {arXiv preprint arXiv:quant-ph/0008029},
year = {2009}
}
Comments
19 pages (including 14 figures), REVTeX 3.1, updated content