Quantum entanglement lies at the heart of quantum information-processing tasks. Although
many criteria have been proposed, efficient and scalable methods to detect the …

In this study, we introduce an autonomous method for addressing the detection and
classification of quantum entanglement, a core element of quantum mechanics that has yet …

Quantum steering has attracted increasing research attention because of its fundamental
importance, as well as its applications in quantum information science. Here we leverage …

We present the variational separability verifier (VSV), which is a variational quantum
algorithm that determines the closest separable state (CSS) of an arbitrary quantum state …

Quantum system attributes, notably entanglement, are indispensable in manipulating
quantum information tasks. Ergo, machine learning applications to help harness the …

The concept of entanglement and separability of quantum states is relevant for several fields
in physics. Still, there is a lack of effective operational methods to characterise these …

Suppose we have an unknown multipartite quantum state, how can we experimentally find
out whether it is genuine multipartite entangled or not? Recall that even for a bipartite …

To unequivocally distinguish genuine quantumness from classicality, a widely adopted
approach focuses on the negative values of a quasi-distribution representation as …

Current noise levels in physical realizations of qubits and quantum operations limit the
applicability of conventional methods to characterize entanglement. In this adverse scenario …

When preparing a pure state with a quantum circuit, there is an unavoidable approximation
error due to the compilation error in fault-tolerant implementation. A recently proposed …