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Codes, data and plots of "Competition between pair and single-particle superfluidity in bosonic quasi-flat bands: A Gaussian state approach"

Ivan Amelio, Maxime Burgher

Published Jun 9, 2026• 0 citations
Publisher

Abstract

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.

DOI
10.5281/zenodo.20610677

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Data and code to reproduce the "Freezing and Shielding under Global Quenches for Many-Body Systems with Long-Range Couplings" data in https://arxiv.org/abs/2407.06072. The mathematica file just perform a numerical integral that computes the double occupaciens with second order unitary perturbation theory for a semi-circular density of states of the unperturbed state. The python files also compute double occupaciens with second order unitary perturbation theory for a finite system where the density of states cannot be approximated by a continuous functions but it is just a collection of eigenenergies. The Fig1.ipynb file computes the dynamics of three local excitations for the spin model and the Fermi-Hubbard model with off-diagonal disorder and long-range hopping/interactions. Ther is a python file that computes the fidelity decay.
Data and codes to generate the figures of the article: A. Cabot, F. Carollo, I. Lesanovsky, "Parameter estimation with one- and two-time measurements on the emission field of the boundary time crystal", arXiv:2503.21753 (Accepted in Physical Review A). Structure: For each figure there is a folder containing the python script to generate the figure together with the corresponding data. Master codes used to generate the data are found in the folder "Master_codes_simulations". Codes are written in python, making use of standard libraries such as numpy/scipy and qutip.