Two of the main challenges in scaling up quantum systems are noise and control, arising from the systems’ sensitivity to the environment and its exponential complexity. The first step in resolving these challenges is characterizing and learning the noisy dynamics. In this talk, I’ll discuss how the very quantum features that contribute to this complexity, such as entanglement, can actually enhance our ability to learn quantum processes. I’ll then show how, by using information about noise and its interactions with controls, we can efficiently suppress noise processes on a large scale when executing quantum programs. Additionally, I’ll highlight the advantages of newly developed adaptive control techniques with dynamic circuits for performing long-range entangling operations faster and with greater fidelity than non-adaptive circuits. Finally, I’ll discuss future directions and open questions in understanding noisy quantum systems.