Search Results for author:
Found 5 papers, 1 papers with code
Deep reinforcement learning for quantum multiparameter estimation
Estimation of physical quantities is at the core of most scientific research and the use of quantum devices promises to enhance its performances.
Regression of high dimensional angular momentum states of light
The Orbital Angular Momentum (OAM) of light is an infinite-dimensional degree of freedom of light with several applications in both classical and quantum optics.
Machine learning-based classification of vector vortex beams
Structured light is attracting significant attention for its diverse applications in both classical and quantum optics.
Quantum Physics
Experimental Phase Estimation Enhanced By Machine Learning
Phase estimation protocols provide a fundamental benchmark for the field of quantum metrology.
Pattern recognition techniques for Boson Sampling validation
The difficulty of validating large-scale quantum devices, such as Boson Samplers, poses a major challenge for any research program that aims to show quantum advantages over classical hardware.
