Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

Kris Tucker, Amit Kiran Rege, Conor Smith +2

We build upon recent work on using Machine Learning models to estimate Hamiltonian parameters using continuous weak measurement of qubits as input. We consider two settings for the…