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ARC 3.0: An expanded Python toolbox for atomic physics calculations

Robertson, EJ; Sibalic, N; Potvliege, RM; Jones, MPA

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Authors

EJ Robertson

N Sibalic



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 (Šibalić et al., 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.

Journal Article Type Article
Acceptance Date Dec 5, 2020
Online Publication Date Jan 1, 2021
Publication Date Apr 30, 2021
Deposit Date Jan 6, 2021
Publicly Available Date Jan 8, 2021
Journal Computer Physics Communications
Print ISSN 0010-4655
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 261
Issue 107814
Article Number 107814
DOI https://doi.org/10.1016/j.cpc.2020.107814
Public URL https://durham-repository.worktribe.com/output/1248005
Related Public URLs https://arxiv.org/abs/2007.12016v1

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