论文标题
量子最佳控制：实用方面和多种方法
Quantum Optimal Control: Practical Aspects and Diverse Methods
论文作者
论文摘要
量子控件实现了量子计算机，量子模拟器，量子通信和其他量子信息设备中使用的单一或单一操作。他们在电气，磁或电磁控制场的帮助下实施了所需的量子动力学。量子最佳控制（QOC）涉及设计最佳控制场调制，该调制最精确地实现了所需的量子操作，最小的能量消耗和针对硬件缺陷的最大鲁棒性以及外部噪声。在过去的二十年中，已经提出了许多QoC方法。它们包括渐近方法，直接搜索，梯度方法，变异方法，机器学习方法等。在本综述中，我们将介绍QOC的基本思想，讨论实际挑战，然后概述各种QOC方法。
Quantum controls realize the unitary or nonunitary operations employed in quantum computers, quantum simulators, quantum communications, and other quantum information devices. They implement the desired quantum dynamics with the help of electric, magnetic, or electromagnetic control fields. Quantum optimal control (QOC) deals with designing an optimal control field modulation that most precisely implements a desired quantum operation with minimum energy consumption and maximum robustness against hardware imperfections as well as external noise. Over the last two decades, numerous QOC methods have been proposed. They include asymptotic methods, direct search, gradient methods, variational methods, machine learning methods, etc. In this review, we shall introduce the basic ideas of QOC, discuss practical challenges, and then take an overview of the diverse QOC methods.
