量子随机动力学中基于反馈切换的镇定方法
Stabilization via feedback switching for quantum stochastic dynamics
AI总结：
本研究提出一种结合连续测量输出与切换耗散控制的量子系统纯态/子态制备新方法，证明其可实现目标的全局渐近稳定，且性能优于现有两类切换控制律，尤其在错误初始化场景下提升显著。
摘要：
我们提出了一种用于量子系统纯态与子态制备的新方法，该方法利用连续测量过程的输出以及切换耗散控制，来提升收敛速度，同时增强对初始条件的鲁棒性。具体而言，我们证明所提出的闭环策略可使期望目标在均值意义和几乎必然意义下均实现全局渐近稳定；实验对比显示，该方法优于基于时间和基于状态的切换控制律，在初始条件存在错误的情况下性能提升尤为显著。
英文摘要：
We propose a new method for pure-state and subspace preparation in quantum systems, which employs the output of a continuous measurement process and switching dissipative control to improve convergence speed, as well as robustness with respect to the initial conditions. In particular, we prove that the proposed closed-loop strategy makes the desired target globally asymptotically stable both in mean and almost surely, and we show it compares favorably against a time-based and a state-based switching control law, with significant improvements in the case of faulty initialization.
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