Revealing the key variables and states in optimal control of quantum dynamics

Maxim Artamonov; Tak San Ho; Herschel Rabitz

doi:10.1016/j.cplett.2005.11.129

Revealing the key variables and states in optimal control of quantum dynamics

Maxim Artamonov, Tak San Ho, Herschel Rabitz

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Abstract

Sensitivity analysis of the wavefunction is shown to be useful for identifying the key variables and states in optimal control calculations. The analysis calls for little extra effort beyond that of performing the original control calculation. An application of the analysis to a model multilevel control problem is presented.

Original language	English (US)
Pages (from-to)	81-85
Number of pages	5
Journal	Chemical Physics Letters
Volume	421
Issue number	1-3
DOIs	https://doi.org/10.1016/j.cplett.2005.11.129
State	Published - Apr 3 2006

All Science Journal Classification (ASJC) codes

General Physics and Astronomy
Physical and Theoretical Chemistry

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10.1016/j.cplett.2005.11.129

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title = "Revealing the key variables and states in optimal control of quantum dynamics",

abstract = "Sensitivity analysis of the wavefunction is shown to be useful for identifying the key variables and states in optimal control calculations. The analysis calls for little extra effort beyond that of performing the original control calculation. An application of the analysis to a model multilevel control problem is presented.",

author = "Maxim Artamonov and Ho, {Tak San} and Herschel Rabitz",

note = "Funding Information: This work was supported by a grant from the US Department of Energy.",

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AU - Ho, Tak San

AU - Rabitz, Herschel

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Y1 - 2006/4/3

N2 - Sensitivity analysis of the wavefunction is shown to be useful for identifying the key variables and states in optimal control calculations. The analysis calls for little extra effort beyond that of performing the original control calculation. An application of the analysis to a model multilevel control problem is presented.

AB - Sensitivity analysis of the wavefunction is shown to be useful for identifying the key variables and states in optimal control calculations. The analysis calls for little extra effort beyond that of performing the original control calculation. An application of the analysis to a model multilevel control problem is presented.

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Revealing the key variables and states in optimal control of quantum dynamics

Abstract

All Science Journal Classification (ASJC) codes

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