ARC 3.0: An expanded Python toolbox for atomic physics calculations
Abstract
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.
Cite
@article{arxiv.2007.12016,
title = {ARC 3.0: An expanded Python toolbox for atomic physics calculations},
author = {Elizabeth J. Robertson and Nikola Šibalić and Robert M. Potvliege and Matthew P. A. Jones},
journal= {arXiv preprint arXiv:2007.12016},
year = {2021}
}
Comments
18 pages, 8 figures