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
Type
Article accepté pour publication ou publiéDate
2002Journal name
The Journal of Physical Chemistry. BVolume
106Number
33Publisher
ACP
Pages
8125-8131
Publication identifier
Metadata
Show full item recordAuthor(s)
Rabitz, HerschelRamakhrishna, Viswanath
Turinici, Gabriel

CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Li, Baiqing
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 / Keywords
quantum systems; optimal dynamic discrimination; optimal controlRelated items
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