Hamiltonian learning for quantum error correction

This paper brings together error correction and quantum device verification through a Hamiltonian learning algorithm. The machine learning driven algorithm identifies the Hamiltonian of a quantum device from a small amount of local measurements and brings the device into the desired error free state. The mode can be trained on a classical computer and then be deployed on real quantum devices.