Rapidly convergent iteration methods for quantum optimal control of population

Wusheng Zhu; Jair Botina; Herschel Rabitz

doi:10.1063/1.475576

Rapidly convergent iteration methods for quantum optimal control of population

Wusheng Zhu, Jair Botina, Herschel Rabitz

Research output: Contribution to journal › Article › peer-review

428 Scopus citations

Abstract

A family of new iteration methods is presented for designing quantum optimal controls to manipulate the transition probability. Theoretical analysis shows that these new methods exhibit quadratic and monotonic convergence. Numerical calculations verify that for these new methods, within very few steps, the optimized objective functional comes close to its convergent limit.

Original language	English (US)
Pages (from-to)	1953-1963
Number of pages	11
Journal	Journal of Chemical Physics
Volume	108
Issue number	5
DOIs	https://doi.org/10.1063/1.475576
State	Published - Feb 1 1998

All Science Journal Classification (ASJC) codes

General Physics and Astronomy
Physical and Theoretical Chemistry

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10.1063/1.475576

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title = "Rapidly convergent iteration methods for quantum optimal control of population",

abstract = "A family of new iteration methods is presented for designing quantum optimal controls to manipulate the transition probability. Theoretical analysis shows that these new methods exhibit quadratic and monotonic convergence. Numerical calculations verify that for these new methods, within very few steps, the optimized objective functional comes close to its convergent limit.",

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Rapidly convergent iteration methods for quantum optimal control of population

Abstract

All Science Journal Classification (ASJC) codes

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