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231223s2010 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.21286
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|a eng
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|a Strohecker, Traci
|e verfasserin
|4 aut
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|a Quantum control implemented as combinatorial optimization
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|c 2010
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|a Text
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|2 rdacontent
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|a ƒaComputermedien
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|a Date Completed 12.02.2010
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|a Date Revised 30.11.2009
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Copyright 2009 Wiley Periodicals, Inc.
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|a Optimal control theory provides a general means for designing controls to manipulate quantum phenomena. Traditional implementation requires solving coupled nonlinear equations to obtain the optimal control solution, whereas this work introduces a combinatorial quantum control (CQC) algorithm to avoid this complexity. The CQC technique uses a predetermined toolkit of small time step propagators in conjunction with combinatorial optimization to identify a proper sequence for the toolkit members. Results indicate that the CQC technique exhibits invariance of search effort to the number of system states and very favorable scaling upon comparison to a standard gradient algorithm, taking into consideration that CQC is easily parallelizable
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|a Journal Article
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|a Rabitz, Herschel
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|t Journal of computational chemistry
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|g 31(2010), 1 vom: 15. Jan., Seite 151-3
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|x 1096-987X
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|g year:2010
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|g day:15
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|g pages:151-3
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|u http://dx.doi.org/10.1002/jcc.21286
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