Simulations and experimental data for "Hamiltonian learning via quantum Zeno effect"

This dataset accompanies the paper “Hamiltonian Learning via Quantum Zeno Effect.” Code to reproduce it is accessible at https://github.com/GiacomoFrn/HL_w_Zeno Simulation data Each data file corresponds to a specific simulation characterized by: System size (N) Evolution time step (T) Number of measurement kicks (n_kicks) or number of shots per measurement setting (n_shots) Realization index Files are plain-text and include two labeled sections: Reconstructed Coefficients – estimated Hamiltonian parameters obtained via the learning algorithm. Real Coefficients – the true Hamiltonian parameters used to generate the simulated data. Differences of the coeffs Choi matrices of the local reconstructions The dataset enables reproduction and benchmarking of the Hamiltonian learning simulation results reported in the paper. Experimental data json file containing experimental data, it can be opened following the code provided in the GitHub repository linked to the paper