ARC 3.0 is a modular, object-oriented Python library combining data and algorithms to enable the calculation of a range of properties of alkali and divalent atoms. Building on the initial version of the ARC library [N. Sibalic et al, Comput. Phys. Commun. 220, 319 (2017)], which focused on Rydberg states of alkali atoms, this major upgrade introduces support for divalent atoms. It also adds new methods for working with atom-surface interactions, for modelling ultracold atoms in optical lattices and for calculating valence electron wave functions and dynamic polarisabilities. Such calculations have applications in a variety of fields, e.g., in the quantum simulation of many-body physics, in atom-based sensing of DC and AC fields (including in microwave and THz metrology) and in the development of quantum gate protocols. ARC 3.0 comes with an extensive documentation including numerous examples. Its modular structure facilitates its application to a wide range of problems in atom-based quantum technologies.

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ARC 3.0：用于原子物理计算的扩展 Python 工具箱

ARC 3.0 是一个模块化、面向对象的 Python 库，结合了数据和算法，可以计算碱和二价原子的一系列属性。建立在 ARC 库的初始版本 [N. Sibalic 等人，计算。物理。社区。220, 319 (2017)]，重点关注碱原子的里德堡态，这一重大升级引入了对二价原子的支持。它还增加了处理原子-表面相互作用、模拟光学晶格中的超冷原子以及计算价电子波函数和动态极化率的新方法。这种计算在许多领域都有应用，例如，多体物理学的量子模拟，直流和交流场的基于原子的传感（包括微波和太赫兹计量）以及量子门协议的开发。弧 3。0 附带一个广泛的文档，包括许多示例。其模块化结构有助于将其应用于基于原子的量子技术中的广泛问题。