Chen, Chunlin; Dong, Daoyi; Long, Ruixing; Petersen, Ian; Rabitz, Herschel
Compensation for parameter dispersion is a significant challenge for control of inhomogeneous quantum ensembles. In this paper, we present the systematic methodology of sampling-based learning control (SLC) for simultaneously steering the members of inhomogeneous quantum ensembles to the same desired state. The SLC method is employed for optimal control of the state-to-state transition probability for inhomogeneous quantum ensembles of spins as well as
-type atomic systems. The procedure...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.