2018
DOI: 10.1007/s10773-018-3899-8
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High Fidelity and Fast Population Transfer in a System of Interacting Two-Level Particles via Optimal Control

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Cited by 2 publications
(2 citation statements)
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“…[18,19] By formulating the population transfer problem within an optimal control framework, quantum optimal control theory offers a powerful tool for finding optimal control strategies that maximize transfer efficiency while including constraints on the control fields. [20][21][22][23][24][25][26][27][28][29] In practical applications, it is vital to develop robust quantum control strategies that account for uncertainties and disturbances arising from fluctuations in control field parameters or environmental noise sources. However, ensuring the effectiveness and reliability of population transfer in quantum systems remains challenging, as it requires designing optimal control fields capable of overcoming such uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…[18,19] By formulating the population transfer problem within an optimal control framework, quantum optimal control theory offers a powerful tool for finding optimal control strategies that maximize transfer efficiency while including constraints on the control fields. [20][21][22][23][24][25][26][27][28][29] In practical applications, it is vital to develop robust quantum control strategies that account for uncertainties and disturbances arising from fluctuations in control field parameters or environmental noise sources. However, ensuring the effectiveness and reliability of population transfer in quantum systems remains challenging, as it requires designing optimal control fields capable of overcoming such uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Apart from the environment-induced decoherence effects, the operation deviations of control parameters, behaving as inevitable error sources, are directly detrimental to robust operations in quantum information processing. To suppress the effect of control errors, some novel schemes have been proposed [21][22][23][24][25][26][27][28][29]. Among them, methods that combine STA ideas with optimal control have proved to be very robust and flexible [25][26][27][28][29], which could make transfer operations insensitive to imperfect calibrations of control parameters.…”
mentioning
confidence: 99%