Scaling law of asymptotic freedom in collective charging of quantum batteries

Explanation of the data for the figures: This dataset contains the numerical data for Figs. 2, 3, 4 and, 5 of the paper ''Scaling law of asymptotic freedom in collective charging of quantum batteries''. 1. The files in the directory ‘raw_data/Fig.2_boundary/’ contain the data for Fig. 2 in the paper. 2. The files in the directory ‘raw_data/Secondary data of Fig2 and Fig3/’ contain the data for the Inset of Fig. 2 in the paper. 3. The files in the directory ‘raw_data/Fig.3_collapse/’ contain the data for Fig. 3 in the paper. 4. The files in the directory‘raw_data/Fig.4 and Fig.5_fast convergence/’ contain the data for Figs. 4 and 5 in the paper, and Figs. S1(a) and S1(b) in the Supplemental Material. Explanation of the codes: The codes are written in Python and use the QuTiP and NumPy libraries. 1. For Figs. 2 and 3, the code (d level battery.py) are used to calculate the time evolution. Three additional codes (boundary_sub.py, calculating purity.py, and collapse.py) process the data and plot it. 2. For Figs. 2, 3, 4, and 5 in the paper, and Figs. S1(a) and S1(b) in the Supplemental Material, the code (Beyond one over N scaling.py) is used to calculate the time evolution.