  The development of estimation and control theories for quantum systems is a
fundamental task for practical quantum technology. This vision article presents
a brief introduction to challenging problems and potential opportunities in the
emerging areas of quantum estimation, control and learning. The topics cover
quantum state estimation, quantum parameter identification, quantum filtering,
quantum open-loop control, quantum feedback control, machine learning for
estimation and control of quantum systems, and quantum machine learning.
