Reliable quantum advantage in quantum battery charging - Preprint manuscript and Python code

Davide Rinaldi, Radim Filip, Dario Gerace, Giacomo Guarnieri

Published Jul 14, 2025• 0 citations

Abstract

Description This repository contains the open access version of the manuscript Reliable quantum advantage in quantum battery charging, which can also be found on ArXiv. The manuscript has been published on Physical Review A; therefore, the published version is not open access, but the APS Transfer of Copyright Agreement applies. The published version can be found here. Moreover, the repository contains the Python code that has been exploited to perform the simulations discussed in the manuscript. Reference paper Published version: Phys. Rev. A 112, 012205 DOI: https://doi.org/10.1103/6kwv-z6fx Open access version on ArXiv: arXiv:2412.15339 DOI: https://doi.org/10.48550/arXiv.2412.15339 Python code Usage: Computation of the SNR associated with U, Q and W: Run SNR.py: it outputs data file Run SNR_plot.py: it plots the data (Figure 2 in the paper) Computation of the produced power and of the fidelity: Run charge.py: it outputs data file Run charge_plot.py: it plots the data (Figure 3.a and 3.b in the paper) Required libraries: - numpy - matplotlib.pyplot - matplotlib - os - met_brewer Important: the following scripts, - JCGEN.py - JC_evolution.py - veclib.py - operators_toolbox.py - distanceLib.py must be in the same folder of SNR.py, SNR_plot.py, charge.py, and charge_plot.py, since the latter call functions contained in the previous ones.

DOI: 10.5281/zenodo.15967639

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