Scalably learning quantum many-body Hamiltonians from dynamical data

Our paper on Hamiltonian learning for large quantum systems contains several numerical results. The results were produced with the differentiable-tebd package which we developed for this study. The scripts and raw output data, as well as Jupyter notebooks for generating the plots shown in the paper are contained in this repository. For more information please refer to the guiding repository.

For funding information please refer to the acknowledgement section of the paper.