Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments

Robust control design for quantum systems has been recognized as a key task in quantum information technology, molecular chemistry and atomic physics. In this paper, an improved differential evolution algorithm of msMS DE is proposed to search robust fields for various quantum control problems. In msMS DE, multiple samples are used for fitness evaluation and a mixed strategy is employed for mutation operation. In particular, the msMS DE algorithm is applied to the control problem of open inhomogeneous quantum ensembles and the consensus problem of a quantum network with uncertainties. Numerical results are presented to demonstrate the excellent performance of the improved DE algorithm for these two classes of quantum robust control problems. Furthermore, msMS DE is experimentally implemented on femtosecond laser control systems to generate good signals of twophoton absorbtion and control fragmentation of halomethane molecules CH2BrI. Experimental results demonstrate excellent performance of msMS DE in searching effective femtosecond laser pulses for various tasks.