Quantum entanglement is the core resource in quantum information processing and
quantum computing. It is a significant challenge to effectively characterize the entanglement …

As one of the important types of entanglement, genuine multipartite entanglement plays a
key role in both foundational and practical aspects of quantum information theory. In this …

By combining a parameterized Hermitian matrix, the realignment matrix of the bipartite
density matrix, and the vectorization of its reduced density matrices, we present a family of …

Entanglement detection is one of the core tasks in quantum information processing. Based
on a broad class of informationally complete symmetric measurements, a series of …

As one of the most profound features of quantum mechanics, entanglement is a vital
resource for quantum information processing. Inspired by the recent work on PT-moments …

Entanglement detection is an important problem in quantum information theory because
quantum entanglement is a key resource in quantum information processing. Realignment …

Separability problem, to decide whether a given state is entangled or not, is a fundamental
problem in quantum information theory. We propose a powerful and computationally simple …

We provide a class of positive and trace-preserving maps based on symmetric
measurements. From these positive maps we present separability criteria, entanglement …

Detection of entanglement through partial knowledge of the quantum state is a challenge to
implement efficiently. Here we propose a separability criterion for detecting bipartite …

The problem of determining whether a given quantum state is entangled lies at the heart of
quantum information processing. Despite the many methods—such as the positive partial …