Principal component analysis: gaining insight from feedback learning algorithms

J. L. White; B. J. Pearson; P. H. Bucksbaum

14th International Conference on Ultrafast Phenomena
Technical Digest (CD) (Optica Publishing Group, 2004),
paper ME68

Principal component analysis: gaining insight from feedback learning algorithms

J. L. White, B. J. Pearson, and P. H. Bucksbaum

International Conference on Ultrafast Phenomena 2004

Niigata Japan
25–30 July 2004
ISBN: 3-54024-110-8

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Poster Session I (Exhibition) (ME)

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J. L. White, B. J. Pearson, and P. H. Bucksbaum, "Principal component analysis: gaining insight from feedback learning algorithms," in 14th International Conference on Ultrafast Phenomena, Technical Digest (CD) (Optica Publishing Group, 2004), paper ME68.

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Abstract

Feedback learning algorithms are used to search for optical pulse shapes for quantum control. We use principal component analysis to analyze the pulse shapes found by these algorithms to learn about the system's quantum dynamics.

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