In quantum mechanics, the definition of a Von Neumann measurement can be generalized using positive-operator-valued measures. This modified definition of a quantum measurement allows one to better distinguish between a set of nonorthogo-nal quantum states. In this thesis we examine a quantum detection problem, where we have a physical system whose state is limited to be in only one of a finite number of possibilities. These possible states are not necessarily orthogonal. We want to find the best method of measuring the system in order to distinguish which state the system is in. Mathematically, we want to find a positive-operator-valued measure that minimizes the probability of a detection error. It is shown that all tight-frames with frame...
We introduce a class of informationally complete positive-operator-valued measures which are, in ana...
A complete set of mutually unbiased bases for a Hilbert space of dimension N is analogous in some re...
AbstractQuantum statistical decision theory arises in connection with applied problems of optimal de...
In quantum mechanics, the definition of a Von Neumann measurement can be generalized using positive...
Abstract. A general method is given to solve tight frame optimization problems, borrowing notions fr...
Abstract A general method is given to solve tight frame optimization problems, borrowing notions fro...
We show how an upper bound for the ability to discriminate any number N of candidates for the Hamilt...
We present a universal algorithm for the optimal quantum state estimation of an arbitrary finite dim...
The problem addressed is to design a detector which is maximally sensitive to specific quantum state...
Deterministic discrimination of nonorthogonal states is forbidden by quantum measurement theory. How...
We derive the optimal measurement for quantum state discrimination without a priori probabilities, i...
International audienceThe quantum observables used in the case of quantum systems with finite-dimens...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We consider the problem of determining the mixed quantum state of a large but finite number of ident...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We introduce a class of informationally complete positive-operator-valued measures which are, in ana...
A complete set of mutually unbiased bases for a Hilbert space of dimension N is analogous in some re...
AbstractQuantum statistical decision theory arises in connection with applied problems of optimal de...
In quantum mechanics, the definition of a Von Neumann measurement can be generalized using positive...
Abstract. A general method is given to solve tight frame optimization problems, borrowing notions fr...
Abstract A general method is given to solve tight frame optimization problems, borrowing notions fro...
We show how an upper bound for the ability to discriminate any number N of candidates for the Hamilt...
We present a universal algorithm for the optimal quantum state estimation of an arbitrary finite dim...
The problem addressed is to design a detector which is maximally sensitive to specific quantum state...
Deterministic discrimination of nonorthogonal states is forbidden by quantum measurement theory. How...
We derive the optimal measurement for quantum state discrimination without a priori probabilities, i...
International audienceThe quantum observables used in the case of quantum systems with finite-dimens...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We consider the problem of determining the mixed quantum state of a large but finite number of ident...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We introduce a class of informationally complete positive-operator-valued measures which are, in ana...
A complete set of mutually unbiased bases for a Hilbert space of dimension N is analogous in some re...
AbstractQuantum statistical decision theory arises in connection with applied problems of optimal de...