DocumentCode :
688568
Title :
Optimal use of laser resources for molecular detection
Author :
Rabitz, Hersch
Author_Institution :
Princeton Univ., Princeton, NJ, USA
fYear :
2013
fDate :
9-14 June 2013
Firstpage :
1
Lastpage :
1
Abstract :
Similar molecules or materials have comparable composition, structure, and other properties thus making them difficult to discriminate for purposes of detection. Although the species may be spectrally similar, they each could have significantly different (quantum) dynamical behavior for detection. Optimal dynamic discrimination (ODD) aims to maximally draw out the differences among similar species by manipulating their molecular dynamics with optimized radiation resources. The highest degrees of discrimination arise upon exploiting control of the quantum dynamics of the species. Theoretical analysis shows that quantum systems differing even infinitesimally in character may be distinguished by means of their dynamics when acted upon by a suitably shaped control field. Simulations have demonstrated the capabilities of optimal discrimination in the presence of laser-pulse noise, signal detection errors, and imperfect signal detection resolution. Recent experiments have demonstrated the feasibility of ODD.
Keywords :
laser beam effects; molecular dynamics method; optical control; optical signal detection; optimal control; quantum optics; radiation pressure; ODD; composition; degree of discrimination; imperfect signal detection resolution; laser resources; laser-pulse noise; materials; molecular detection; molecular dynamics; molecules; optimal discrimination; optimal dynamic discrimination; optimized radiation resources; quantum dynamic control; quantum dynamical behavior; quantum systems; shaped control field; signal detection errors; structure; theoretical analysis; Dynamic scheduling; Educational institutions; Laser applications; Manipulator dynamics; Materials; Quantum mechanics; Signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2013 Conference on
Conference_Location :
San Jose, CA
Type :
conf
Filename :
6832942
Link To Document :
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