We present optimal and minimal measurements on identical copies of an unknown state of a quantum bit when the quality of measuring strategies is quantified with the gain of information (Kullback-or mutual information-of probability distributions). We also show that the maximal gain of information occurs, among isotropic priors, when the state is known to be pure. Universality of optimal measurements follows from our results: using the fidelity or the gain of information, two different figures of merits, leads to exactly the same conclusions for isotropic distributions. We finally investigate the optimal capacity of N copies of an unknown state as a quantum channel of information
We introduce a new state discrimination problem in which we are given additional information about t...
Given a quantum pure state chosen from a set with some a priori probabilities, what is the optimal m...
We show that quantum-to-classical channels, i.e., quantum measurements, can be asymptotically simula...
We present optimal and minimal measurements on identical copies of an unknown state of a quantum bit...
The optimal and minimal measuring strategy is obtained for a two-state system prepared in a mixed st...
This thesis reflects works previously published by the author and materials hitherto unpublished on ...
Measurements of quantum states form a key component in quantum-information processing. It is therefo...
We compare and contrast the error probability and fidelity as measures of the quality of the receive...
This thesis studies the limits on the performances of inference tasks with quantum data and quantum...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We consider the problem of measuring a single qubit, known to have been prepared in either a randoml...
With the advance of quantum information technology, the question of how to most efficiently test qua...
When discriminating between two pure quantum states, there exists a quantitative tradeoff between th...
We explore the open problem of the most efficient way to communicate classical data across quantum c...
We present optimal encoding-decoding procedures for sending the information contained in an arbitrar...
We introduce a new state discrimination problem in which we are given additional information about t...
Given a quantum pure state chosen from a set with some a priori probabilities, what is the optimal m...
We show that quantum-to-classical channels, i.e., quantum measurements, can be asymptotically simula...
We present optimal and minimal measurements on identical copies of an unknown state of a quantum bit...
The optimal and minimal measuring strategy is obtained for a two-state system prepared in a mixed st...
This thesis reflects works previously published by the author and materials hitherto unpublished on ...
Measurements of quantum states form a key component in quantum-information processing. It is therefo...
We compare and contrast the error probability and fidelity as measures of the quality of the receive...
This thesis studies the limits on the performances of inference tasks with quantum data and quantum...
We consider the problem of discriminating between states of a specified set with maximum confidence....
We consider the problem of measuring a single qubit, known to have been prepared in either a randoml...
With the advance of quantum information technology, the question of how to most efficiently test qua...
When discriminating between two pure quantum states, there exists a quantitative tradeoff between th...
We explore the open problem of the most efficient way to communicate classical data across quantum c...
We present optimal encoding-decoding procedures for sending the information contained in an arbitrar...
We introduce a new state discrimination problem in which we are given additional information about t...
Given a quantum pure state chosen from a set with some a priori probabilities, what is the optimal m...
We show that quantum-to-classical channels, i.e., quantum measurements, can be asymptotically simula...