Data for "Improving Spectral Resolution from Real-time Evolution for Correlated Systems"

This dataset contains simulated lesser Green’s functions computed using the time-dependent density matrix renormalization group (tDMRG) method for the two models studied in the paper “Improving Spectral Resolution from Real-time Evolution for Correlated Systems”:hubbard_green_raw.npyA NumPy array of shape (800, 120) containing the lesser Green’s function for a 120-site Hubbard model, evolved for 800 real-time steps. The time step size is 0.025.hubbard-holstein_green_raw.npyA NumPy array of shape (400, 80) containing the lesser Green’s function for an 80-site Hubbard–extended Holstein model, evolved for 400 real-time steps. The time step size is 0.05.The data are stored as complex-valued arrays with dimensions ordered as (time index, site index). All model parameters and numerical details of the tDMRG simulations are described in the associated paper.