| Popis: |
Efficient and systematic numerical methods for robust control design are highly desired in the study of quantum systems, since system imperfections such as uncertainties or disturbances inevitably exist. By modeling uncertainties as combinations of random variables following prescribed distributions, the expectation of infidelity can be used to quantify the level of robustness as a performance index in various control problems. Inspired by sample-based algorithms, we consider the level of robustness as a weighted tensor product quadrature, and take advantage of Smolyak's sparse grid algorithm to develop a parametric robust quantum control scheme, with the purpose of reducing computation cost and improving accuracy. Furthermore, the features and strengths of the scheme proposed in this paper have been illustrated in the context of robust control problems, including state transfer and realization of quantum gates, where ultrahigh fidelity can be achieved with strong robustness using Smolyak algorithm-assisted gradient-based methods. Therefore, our results can contribute to reliable and secure quantum computing as well as communication. |
