Quantum state discrimination underlies various applications in quantum information
processing tasks. It essentially describes the distinguishability of quantum systems in …

One of the most fundamental results in quantum information theory is that no measurement
can perfectly discriminate between nonorthogonal quantum states. In this work, we …

Variational quantum algorithms have been acknowledged as the leading strategy to realize
near-term quantum advantages in meaningful tasks, including machine learning and …

Distinguishing different quantum states is a fundamental task having practical applications in
information processing. Despite the effort devoted so far, however, strategies for optimal …

In this article, by treating minimum error state discrimination as a complementarity problem,
we obtain the geometric optimality conditions. These can be used as the necessary and …

In quantum state discrimination, one aims to identify unknown states from a given ensemble
by performing measurements. Different strategies such as minimum-error discrimination or …

We study the discrimination of N mixed quantum states in an optimal measurement that
maximizes the probability of correct results while the probability of inconclusive results is …

Quantum state discrimination is a fundamental task having many applications in quantum
information processing. However up to now there has been no rigorous formulation for …

We investigate the unambiguous correct discrimination strategy for discriminating a set of
nonorthogonal symmetric qudit states. Restricting to linearly independent and equally likely …

For discrimination between two signaling states of a qubit, the optimal detector minimizing
the probability of error is applied to the situation where detection has to be performed from a …