论文标题

量子比例综合(PI)对照

Quantum proportional-integral (PI) control

论文作者

Chen, Hui, Li, Hanhan, Motzoi, Felix, Martin, Leigh S., Whaley, K. Birgitta, Sarovar, Mohan

论文摘要

反馈控制是许多现代技术的重要组成部分,并为新兴量子技术提供了关键能力。我们将直接反馈控制的现有方法扩展了控制器将功能直接应用与输出信号成正比的函数(P反馈),即由集成输出信号(I反馈)确定的反馈以及由P和I项组合的反馈组成的策略。后一种量子PI反馈构成了经典控制的广泛使用比例综合反馈的类似物。所有这些策略在实验上都是可行的,不需要复杂的状态估计。我们将所得的形式主义应用于两个规范量子反馈控制问题,即,在有时的测量效率条件下,在热噪声下的谐波振荡器的纠缠状态产生了两个远程量子。这两个问题允许分析P,I和PI反馈控制的相对好处。我们发现,对于两等分的远程纠缠生成,最好的策略可以是当测量效率少于一个时,可以是合并的PI策略。相比之下,对于谐波状态稳定,我们发现P反馈表现出最佳的表现,而在驱动位置和动量反馈是可能的,而当仅可用位置进行驱动时,我的反馈始终显示出最佳的性能,尽管反馈延迟显示以提高这里P策略的性能。

Feedback control is an essential component of many modern technologies and provides a key capability for emergent quantum technologies. We extend existing approaches of direct feedback control in which the controller applies a function directly proportional to the output signal (P feedback), to strategies in which feedback determined by an integrated output signal (I feedback), and to strategies in which feedback consists of a combination of P and I terms. The latter quantum PI feedback constitutes the analog of the widely used proportional-integral feedback of classical control. All of these strategies are experimentally feasible and require no complex state estimation. We apply the resulting formalism to two canonical quantum feedback control problems, namely, generation of an entangled state of two remote qubits, and stabilization of a harmonic oscillator under thermal noise under conditions of arbitrary measurement efficiency. These two problems allow analysis of the relative benefits of P, I, and PI feedback control. We find that for the two-qubit remote entanglement generation the best strategy can be a combined PI strategy when the measurement efficiency is less than one. In contrast, for harmonic state stabilization we find that P feedback shows the best performance when actuation of both position and momentum feedback is possible, while when only actuation of position is available, I feedback consistently shows the best performance, although feedback delay is shown to improve the performance of a P strategy here.

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