In this paper we consider the problem of constructing measurements optimized to distinguish between a collection of possibly non-orthogonal quantum states. We consider a collection of pure states and seek a positive operator-valued measure (POVM) consisting of rank-one operators with measurement vectors closest in squared norm to the given states. We compare our results to previous measurements suggested by Peres and Wootters [11] and Hausladen et al. [10], where we refer to the latter as the square-root measurement (SRM). We obtain a new characterization of the SRM, and prove that it is optimal in a least-squares sense. In addition, we show that for a geometrically uniform state set the SRM minimizes the probability of a detection error. This generalizes a similar result of Ban et al. [7] .
Eldar and Forney's paper REF gives an algorithm for computing the optimal vectors and obtains a new characterization of optimal measurement, and prove that it is optimal in a least-squares sense.
On quantum detection and the square-root measurement
IEEE Transactions on Information Theory
Computer Science Mathematics Physics