activity
20172026
most citedMachine learning-based classification of vector vortex beams

150 citations · 1.1k across the 35 of their papers we have counts for

collaborators

36 papers

quant-ph2026

Network Nonlocality with Separable Measurements

Emanuele Polino, Davide Poderini, Giorgio Minati +3

Quantum correlations in networks with independent sources have revealed novel forms of nonclassical behavior. While entanglement in the sources is a necessary ingredient, the role…

quant-ph2025

Experimental randomness certification in a quantum network with independent sources

Giorgio Minati, Giovanni Rodari, Emanuele Polino +5

Randomness certification is a foundational and practical aspect of quantum information science, essential for securing quantum communication protocols. Traditionally, these protoco…

quant-ph2024★ 2 cited

Photonic cellular automaton simulation of relativistic quantum fields: observation of Zitterbewegung

Alessia Suprano, Danilo Zia, Emanuele Polino +6

Quantum Cellular Automaton (QCA) is a model for universal quantum computation and a natural candidate for digital quantum simulation of relativistic quantum fields. Here we introdu…

quant-ph2024★ 10 cited

Benchmarking Bayesian quantum estimation

Valeria Cimini, Emanuele Polino, Mauro Valeri +2

The quest for precision in parameter estimation is a fundamental task in different scientific areas. The relevance of this problem thus provided the motivation to develop methods f…

quant-ph2023

Characterizing Hybrid Causal Structures with the Exclusivity Graph Approach

Giovanni Rodari, Davide Poderini, Emanuele Polino +3

Analyzing the geometry of correlation sets constrained by general causal structures is of paramount importance for foundational and quantum technology research. Addressing this tas…

quant-ph2023★ 42 cited

Experimental property-reconstruction in a photonic quantum extreme learning machine

Alessia Suprano, Danilo Zia, Luca Innocenti +10

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