DOI: 10.5281/zenodo.7360517
title: Data publication for "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings"

description: <strong>Summary</strong> This data publication supplements the manuscript "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings" [1] with tabulated data. Furthermore, the provided Matlab and Python scrips allow to reproduce the data and can serve as a starting point for further investigations. They include a multi-objective optimization scheme, a robustness analysis with further optimizations focused on robustness and an investigation of the electrical properties. The following sections explain the contents of each directory and discuss dependencies on third-party software. For a detailed descriptions of the methods and the optimization and analysis pipeline we refer to the related paper [1]. <strong>Tabulated data</strong> The contained text files refer to figures in the manuscript [1] as indicated by their names. Additional information is given in the headers. <strong>Optimization</strong> The optimization has been carried out with Matlab scripts (tested with version r2019b) which rely on the commercial FEM solver JCMsuite [2] (for a free trial licenses please refer to the homepage of JCMwave). In order to run any of the supplied scripts you must edit the path to the installation directory of JCMsuite (5.2.1). The subdirectories <code>JCMsuite</code> and <code>Matlab</code> contain input files for JCMsuite and function definitions along with a recent version of RPExpand [3], respectively. Rerunning the scripts <code>optimization.m</code>, contained in each of the subdirectories <code>NIR</code>, <code>CBand</code> and <code>OBand</code>, will open the dashboard of the optimizer, which provides visualizations of the optimization progress. The target function is defined in <code>Matlab/coupling.m</code>. Wavelength scans of Purcell enhancement, coupling efficiency to a single mode fiber and collection efficiency into a numerical aperture of NA=0.8 have been carried out using interpolation based on modal expansions with RPExpand. <strong>Robustness analysis</strong> Along with the Python scripts used to run the robustness analysis and further optimizations, a visualization of all results have been added (e.g. <code>final_results/C_Band/robust_opt/figure_purcell_max.pdf</code>), which add to the results presented in figure 2 of the manuscript [1]. <strong>Electrical properties</strong> The script <code>elCBG_capacitor_cylindrical_10_Rings_Ubias_sweep.py</code> is based on DEVSIM [4]. Version 1.6.0 has been used to generate the original data, but for this data publication, it has been adapted to run with a current version. You can install the required packages, e.g., with Miniconda (22.11.1) running <pre><code>conda install mkl sqlite zlib pip install numpy pandas devsim</code></pre> <strong>Bibliography</strong> [1] Lucas Rickert, Fridtjof Betz, Matthias Plock, Sven Burger and Tobias Heindel: High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings (2022), http://arxiv.org/abs/2212.04883 [2] https://jcmwave.com [3] Fridtjof Betz, Felix Binkowski, Sven Burger, RPExpand: Software for Riesz projection expansion of resonance phenomena, SoftwareX 15, 100763 (2021), https://doi.org/10.1016/j.softx.2021.100763 [4] https://devsim.org/index.html
description: L. R. and T. H. acknowledge financial support by the German Federal Ministry of Education and Research (BMBF) via the project 'QuSecure' (Grant No. 13N14876) and tubLAN Q.0 (Funding ID KIS6QLN003), as well as by the Einstein foundation via the Einstein Research Unit "Perspectives of a quantum digital transformation: Near-term quantum computational devices and quantum processors". M. P., F. B. and S. B. acknowledge funding by the German Federal Ministry of Education and Research (project number 05M20ZAA, siMLopt, and BMBF Forschungscampus MODAL, project number 05M20ZBM), as well as funding from the EMPIR programme (project 20FUN05 SEQUME) co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.