Quantum imaging exemplifies the fascinating and counter‐intuitive nature of the quantum
world, where non‐local correlations are exploited for imaging of objects by remote and non …

This paper investigates how to reduce the number of measurement configurations needed
for sufficiently precise entanglement quantification. Instead of analytical formulae, we …

Many-body quantum systems can be characterized using the notions of k-separability and
entanglement depth. A quantum state is k-separable if it can be expressed as a mixture of k …

Cross-platform verification, a critical undertaking in the realm of early-stage quantum
computing, endeavors to characterize the similarity of two imperfect quantum devices …

We explore a supervised machine-learning approach to estimate the entanglement entropy
of multiqubit systems from few experimental samples. We put a particular focus on …

Characterizing multipartite quantum systems is crucial for quantum computing and many-
body physics. The problem, however, becomes challenging when the system size is large …

The identification of nonclassical features of multiphoton quantum states represents a crucial
task in the development of many quantum photonic technologies. Under realistic …

Optical quantum sensing promises measurement precision beyond classical sensors termed
the Heisenberg limit (HL). However, conventional methodologies often rely on prior …

Machine learning techniques have achieved impressive results in recent years and the
possibility of harnessing the power of quantum physics opens new promising avenues to …

The vast and complicated large-qubit state space forbids us to comprehensively capture the
dynamics of modern quantum computers via classical simulations or quantum tomography …