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Optimal Dynamic Discrimination of Similar Molecules Through Quantum Learning Control

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Date
2002
Dewey
Sciences connexes (physique, astrophysique)
Sujet
quantum systems; optimal dynamic discrimination; optimal control
Journal issue
The Journal of Physical Chemistry. B
Volume
106
Number
33
Publication date
2002
Article pages
8125-8131
Publisher
ACP
DOI
http://dx.doi.org/10.1021/jp0204657
URI
https://basepub.dauphine.fr/handle/123456789/9885
Collections
  • CEREMADE : Publications
Metadata
Show full item record
Author
Rabitz, Herschel
Ramakhrishna, Viswanath
Turinici, Gabriel
60 CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Li, Baiqing
Type
Article accepté pour publication ou publié
Abstract (EN)
A paradigm for discriminating similar quantum systems in the laboratory is presented based on optimal control principles with the aid of closed loop learning algorithms. The optimal dynamic discrimination (ODD) process is simulated for a noninteracting mixture of up to three similar finite-dimensional quantum systems. The optimal control field giving rise to species discrimination, that considers the presence of field and observation noise, is deduced with a genetic algorithm (GA). The similar quantum systems yield distinct dynamics and detection signals, although influenced by the same control laser pulse. The ODD process is shown to operate by drawing on constructive and destructive interference effects to simultaneously maximize or minimize the signals from each of the species in the mixture. The ODD technique may have applications to the analysis and separation of possibly even complex chemical species.

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