Analysis of quantum key distribution based on unified model of sequential state discrimination strategy.

The quantum key distribution for multiparty is one of the essential subjects of study. Especially, without using entangled states, performing the quantum key distribution for multiparty is a critical area of research. For this purpose, sequential state discrimination, which provides multiparty quantum communication and quantum key distribution for multiple receivers, has recently been introduced.

Understanding of Various Type of Unambiguous Discrimination in View of Coherence Distribution.

Unambiguous quantum state discrimination is a strategy where the conclusive result can always be trusted. This strategy is very important, since it can be used for various quantum information protocols, including quantum key distribution. However, in the view of quantumness, it is not clear what is going on in performing unambiguous quantum state discrimination.

Coherence and Entanglement Dynamics in Training Variational Quantum Perceptron.

In quantum computation, what contributes supremacy of quantum computation? One of the candidates is known to be a quantum coherence because it is a resource used in the various quantum algorithms. We reveal that quantum coherence contributes to the training of variational quantum perceptron proposed by Y. Du et al.

Generalized sequential state discrimination for multiparty QKD and its optical implementation.

Sequential state discrimination is a strategy for N separated receivers. As sequential state discrimination can be applied to multiparty quantum key distribution (QKD), it has become one of the relevant research fields in quantum information theory. Up to now, the analysis of sequential state discrimination has been confined to special cases.

Almost minimum error discrimination of N-ary weak coherent states by Jaynes-Cummings Hamiltonian dynamics.

Quantum state discrimination of coherent states has been one of important problems in quantum information processing. Recently, R. Han et al.