Optimal learning of covariant quantum states and channels
This research develops collective tomography protocols to efficiently estimate unknown quantum states and channels when they possess known symmetries. By exploiting symmetries from compact groups, the methods significantly reduce the required number of samples or queries compared to standard estimation techniques. This means we can learn complex quantum information much faster using parallel measurements, leading to practical applications in quantum state characterization.