Learning from learning algorithms: application to attosecond dynamics of high-harmonic generation
Date
2004
Authors
Rabitz, Herschel, author
Christov, Ivan, author
Kapteyn, Henry C., author
Murnane, Margaret M., author
Bartels, Randy A., author
American Physical Society, publisher
Journal Title
Journal ISSN
Volume Title
Abstract
Using experiment and modeling, we show that the data set generated when a learning algorithm is used to optimize a quantum system can help to uncover the physics behind the process being optimized. In particular, by optimizing the process of high-harmonic generation using shaped light pulses, we generate a large data set and analyze its statistical behavior. This behavior is then compared with theoretical predictions, verifying our understanding of the attosecond dynamics of high-harmonic generation and uncovering an anomalous region of parameter space.