Suppose we have $n$ pure states in an $n$ dimensional Hilbert space, and we would like to distinguish them using POVM or PVM. We get any one of the pure states with equal probability, and we may set the metric to be the average or the worst-case success probability.
Are there examples where POVM can do better than projective measurement (or a known proof it does not)?
