Quantum optimal control (QOC) is the field devoted to the production of external control protocols that actively guide quantum dynamics. Solutions to QOC problems were shown to constitute continuous submanifolds of control space. A solution navigation method exploiting this property to achieve secondary features in the control protocols was proposed [Larocca, Calzetta, and Wisniacki, Phys. Rev. A 101, 023410 (2020)]. Here, we present a navigation-powered protocol postprocessing mechanism allowing naturally inflexible optimization algorithms to produce user-customized solutions, for example, in terms of a Fourier decomposition. We test the performance of the method in two inherently different models: the two-level Landau-Zener system and the quantum harmonic oscillator.

中文翻译：

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傅里叶压缩：一种量子控制协议的自定义方法

量子最佳控制（QOC）是致力于产生主动指导量子动力学的外部控制协议的领域。QOC问题的解决方案显示出构成控制空间的连续子流形。提出了一种利用该特性来实现控制协议中次要特征的解决方案导航方法[Larocca，Calzetta，and Wisniacki，Phys。修订版A 101，023410（2020）]。在这里，我们介绍了一种导航驱动的协议后处理机制，该机制允许自然不灵活的优化算法生成用户自定义的解决方案，例如，根据傅立叶分解。我们在两个固有的不同模型中测试了该方法的性能：两级Landau-Zener系统和量子谐波振荡器。