Rabitz, Herschel, authorChristov, Ivan, authorKapteyn, Henry C., authorMurnane, Margaret M., authorBartels, Randy A., authorAmerican Physical Society, publisher2007-01-032007-01-032004Bartels, Randy A., et al., Learning from Learning Algorithms: Application to Attosecond Dynamics of High-Harmonic Generation, Physical Review. A 70, no. 4 (October 2004): 043404-1-043404-5.http://hdl.handle.net/10217/68109Using 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.born digitalarticleseng©2004 American Physical Society.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.Text