Explore recent advancements in Hamiltonian learning algorithms through this 49-minute QuICS lecture. Gain an overview of provably efficient methods for learning Hamiltonians from real-time dynamics. Discover how the Heisenberg limit, quantum mechanics' fundamental precision limit, can be achieved in this field. Examine the unique techniques required to reach the Heisenberg limit, including the roles of quantum control, conservation laws, and thermalization. Delve into Heisenberg-limited Hamiltonian learning protocols for continuous-variable systems. Conclude by discussing crucial open problems for practical implementation of these algorithms.