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Non-equilibrium thermodynamics of precision through a quantum-centric computation: source code and data

Mário Motta, Antonio Mezzacapo, Giacomo Guarnieri

Published Apr 8, 2025• 0 citations
Publisher

Abstract

Source code, data, and script to reproduce the results of "Non-equilibrium thermodynamics of precision through a quantum-centric computation" (https://arxiv.org/pdf/2503.03868). The repository is accompanied by a README file guiding users trhough the repository, and a YML file to reproduce the computational environment needed to run the scripts.

DOI
10.5281/zenodo.15176803

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Source code, data, and script to reproduce the results of "Non-equilibrium thermodynamics of precision through a quantum-centric computation" (https://arxiv.org/pdf/2503.03868). The repository is accompanied by a README file guiding users trhough the repository, and a YML file to reproduce the computational environment needed to run the scripts.
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.
This data repository contains the information necessary to reproduce the main results of the paper “Quantum computational displacement sensing”. The repository contains both the data required to generate the figures of the main manuscript and the supplemental material, as well as source code for running the experiments and simulations presented in the paper. There are two main folders: code_simulation (which consists of the training code and the baseline simulations) and code_experiment (which covers the experimental code). The corresponding requirements for running them are in the zipped folder. The data folder contains all simulation and experimental raw and processed data generated. The figures folder contains all the plots presented in the manuscript.
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.