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- W2755053694 abstract "We apply a learning control algorithm with an adaptive target state to the alignment problem of nitrogen molecules. The adaptive target scheme has been shown to have some advantages (e.g., better efficiency) over traditional learning control algorithms using a fixed target state in previous investigations. In this paper, we extend the adaptive target scheme for the post-field alignment problem and a shaped laser pulse is obtained through a learning control algorithm where the target state is updated according to the renormalized fragmentary yield in the desired region. Numerical results are presented to further demonstrate the advantages of the adaptive target scheme for learning control problems of quantum systems where the target state is not unique or known." @default.
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- W2755053694 date "2017-07-01" @default.
- W2755053694 modified "2023-09-23" @default.
- W2755053694 title "Adaptive target scheme for learning control of post-field alignment" @default.
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- W2755053694 doi "https://doi.org/10.23919/chicc.2017.8028912" @default.
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