DocumentCode
3018372
Title
Mechanistic Comparison of Different Solutions Found in Closed-Loop Quantum Control Simulations
Author
White, James ; Cardoza, David ; Bucksbaum, Philip
Author_Institution
Stanford Univ., Stanford
fYear
2007
fDate
6-11 May 2007
Firstpage
1
Lastpage
2
Abstract
We investigate how variable number affects mechanistic complexity in solutions found using closed-loop learning control. We find that we can facilitate our mechanistic understanding by initially using fewer variables for the optimization.
Keywords
closed loop systems; genetic algorithms; high-speed optical techniques; learning (artificial intelligence); optical pulse shaping; closed-loop quantum control; genetic algorithm; learning control; mechanistic complexity; optimization; pulse phase shaping; Delay; Electric variables control; Nonlinear distortion; Optical control; Optical variables control; Phase distortion; Physics; Probes; Pulse shaping methods; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Lasers and Electro-Optics, 2007. CLEO 2007. Conference on
Conference_Location
Baltimore, MD
Print_ISBN
978-1-55752-834-6
Type
conf
DOI
10.1109/CLEO.2007.4453332
Filename
4453332
Link To Document