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Simulation data for "Optimal control transport of neutral atoms in optical tweezers at finite temperature"

Alice Pagano, Daniel Jaschke, W. Weiß, Simone Montangero

Published Jun 25, 2024• 1 citation
Publisher

Abstract

Data and plotting scripts of the manuscript "Optimal control transport of neutral atoms in optical tweezers at finite temperature" (arXiv preprint 2402.17831). The plots are available in Figshare. Download the data and look at the README.md file for a detailed description of the data structure and guidelines for the plotting scripts. To run the plotting scripts the library qu_transport is required. The software is available at https://baltig.infn.it/qpd/quantum_transport_simulation.

DOI
10.5281/zenodo.12526755

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Data and plotting scripts of the manuscript "Optimal control transport of neutral atoms in optical tweezers at finite temperature" (arXiv preprint 2402.17831). The plots are available in Figshare. Download the data and look at the README.md file for a detailed description of the data structure and guidelines for the plotting scripts. To run the plotting scripts the library qu_transport is required. The software is available at https://baltig.infn.it/qpd/quantum_transport_simulation.
This repository contains the numerical data and computational codes supporting the results presented in the manuscript: "Engineered non-Gaussian Coherence as a Thermodynamic Resource for Quantum Batteries". The archive (data_QB.zip) includes all datasets, Jupyter notebooks, and figure files required to reproduce the results reported in both the main text and the Supplemental Material. Each figure is organised in a separate directory containing the corresponding data (.txt), code (.ipynb), and generated plots (.png/.pdf). The provided materials are sufficient to reproduce all figures and results without restriction. Detailed instructions and directory structure are described in the accompanying README.txt file. This dataset is made openly available to ensure transparency and reproducibility of the reported results.
We provide the numerical codes to produce the data contained in "Competition between pair and single-particle superfluidity in bosonic quasi-flat bands: A Gaussian state approach", https://arxiv.org/abs/2605.26231, as well as notebooks to plot them. v1 contains a minimal version of Python and Julia codes. v2 provides the final version of the plots, explicitly stores data used in the plots and avoids Julia notebooks (in order to avoid compatibility issues). The LaTeX script allows to generate the manuscipt. Some of the Python codes rely on the external library QuSpin.py.
This data repository contains the information necessary to reproduce the main results of the paper “A quantum annealer with fully programmable all-to-all coupling via Floquet engineering”. The repository contains both the data required to generate each of the figures of the main manuscript, as well as source code for running simulations of the proposed scheme. Please note that the project was conducted in Julia version 0.6, which can be downloaded from https://julialang.org/downloads/oldreleases/. The repository is structured around each of the figures of the main manuscript. Please read the README for a summary of the structure of each folder, as well as the guidelines for generating the corresponding figure and running the corresponding source code.