Optimal Dynamic Discrimination of Similar Molecules Through Quantum Learning Control
Rabitz, Herschel; Ramakhrishna, Viswanath; Turinici, Gabriel; Li, Baiqing (2002), Optimal Dynamic Discrimination of Similar Molecules Through Quantum Learning Control, The Journal of Physical Chemistry. B, 106, 33, p. 8125-8131. http://dx.doi.org/10.1021/jp0204657
TypeArticle accepté pour publication ou publié
Journal nameThe Journal of Physical Chemistry. B
MetadataShow full item record
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
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.
Subjects / Keywordsquantum systems; optimal dynamic discrimination; optimal control
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