most citedExperimental multiphase estimation on a chip

90 citations · 90 across the 2 of their papers we have counts for

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quant-ph2020

Robust calibration of multiparameter sensors via machine learning at the single-photon level

Valeria Cimini, Emanuele Polino, Mauro Valeri +7

Calibration of sensors is a fundamental step to validate their operation. This can be a demanding task, as it relies on acquiring a detailed modelling of the device, aggravated by…

quant-ph2020

Photonic Quantum Metrology

Emanuele Polino, Mauro Valeri, Nicolò Spagnolo +1

Quantum Metrology is one of the most promising application of quantum technologies. The aim of this research field is the estimation of unknown parameters exploiting quantum resour…

quant-ph2020

Experimental adaptive Bayesian estimation of multiple phases with limited data

Mauro Valeri, Emanuele Polino, Davide Poderini +6

Achieving ultimate bounds in estimation processes is the main objective of quantum metrology. In this context, several problems require measurement of multiple parameters by employ…

quant-ph201990 cited

Experimental multiphase estimation on a chip

Emanuele Polino, Martina Riva, Mauro Valeri +6

Multiparameter estimation is a general problem that aims at measuring unknown physical quantities, obtaining high precision in the process. In this context, the adoption of quantum…

quant-ph2019

Air-core fiber distribution of hybrid vector vortex-polarization entangled states

Daniele Cozzolino, Emanuele Polino, Mauro Valeri +5

Entanglement distribution between distant parties is one of the most important and challenging tasks in quantum communication. Distribution of photonic entangled states using optic…