The chopped random basis (CRAB) ansatz for quantum optimal control has been proven to be a versatile tool to enable quantum technology applications such as quantum computing, quantum simulation, quantum sensing, and quantum communication. Its capability to encompass experimental constraints—while maintaining an access to the usually trap-free control landscape—and to switch from open-loop to closed-loop optimization (including with remote access—or RedCRAB) is contributing to the development of quantum technology on many different physical platforms. In this review article we present the development, the theoretical basis and the toolbox for this optimization algorithm, as well as an overview of the broad range of different theoretical and experimental applications that exploit this powerful technique.

中文翻译：

---

斩波随机基础上十年的量子最优控制

用于量子最优控制的斩波随机基 (CRAB) 模拟已被证明是一种多功能工具，可实现量子计算、量子模拟、量子传感和量子通信等量子技术应用。它包含实验约束的能力——同时保持对通常无陷阱的控制环境的访问——以及从开环切换到闭环优化（包括远程访问或 RedCRAB）的能力正在为量子技术的发展做出贡献许多不同的物理平台。在这篇评论文章中，我们介绍了这种优化算法的发展、理论基础和工具箱，以及对利用这种强大技术的广泛不同理论和实验应用的概述。