The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

The development of quantum‐enabled photonic technologies has opened new avenues for
advanced illumination across diverse fields, including sensing, computing, materials, and …

Variational quantum metrology represents a powerful tool to optimize estimation strategies,
resulting particularly beneficial for multiparameter estimation problems that often suffer from …

Relevant metrological scenarios involve the simultaneous estimation of multiple parameters.
The fundamental ingredient to achieve quantum-enhanced performance is based on the use …

Abstract Correlation Plenoptic Imaging (CPI) is a novel volumetric imaging technique that
uses two sensors and the spatio-temporal correlations of light to detect both the spatial …

Recent developments have led to the possibility of embedding machine learning tools into
experimental platforms to address key problems, including the characterization of the …

Characterizing the time over which quantum coherence survives is critical for any
implementation of quantum bits, memories, and sensors. The usual method for determining …

Adopting quantum resources for parameter estimation discloses the possibility to realize
quantum sensors operating at a sensitivity beyond the standard quantum limit. Such an …

An important practical problem in the field of quantum metrology and sensors is to find the
optimal sequences of controls for the quantum probe that realize optimal adaptive …

Machine learning (ML) is one of the most acclaimed areas of science and technology,
leading to countless real-world benefits, from industry to healthcare. ML involves creating …