Python(编程语言)
物理
里德堡原子
量子
Atom(片上系统)
原子物理学
计算科学
量子力学
计算机科学
里德伯公式
离子
操作系统
嵌入式系统
电离
作者
Elizabeth Robertson,Nikola Šibalić,R. M. Potvliege,Mike I Jones
标识
DOI:10.1016/j.cpc.2020.107814
摘要
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. \v{S}ibali\'c 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI