We investigate two classes of quantum control problems by using frequency-domain optimization algorithms in the context of ultrafast laser control of quantum systems. In the first class of problems, the system model is known and a frequency-domain gradient-based optimization algorithm is applied for searching an optimal control field to selectively and robustly manipulate the population transfer in atomic rubidium. The other class of quantum control problems involves an experimental system with an unknown model. In this case, we introduce a differential evolution algorithm with a mixed strategy to search for optimal control fields and demonstrate the capability in an ultrafast laser control experiment for the fragmentation of Pr(hfac)3 molecules.

中文翻译：

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使用频域优化算法学习量子系统控制


我们在量子系统超快激光控制的背景下使用频域优化算法研究两类量子控制问题。在第一类问题中，系统模型已知，并且应用基于频域梯度的优化算法来搜索最优控制场，以选择性地、稳健地操纵原子铷中的布居转移。另一类量子控制问题涉及具有未知模型的实验系统。在这种情况下，我们引入了一种具有混合策略的差分进化算法来搜索最佳控制场，并展示了超快激光控制实验中 Pr(hfac)3 分子碎片的能力。