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20172022
most citedHigh-fidelity generation of four-photon GHZ states on-chip

7 citations · 8 across the 2 of their papers we have counts for

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quant-ph20227 cited

High-fidelity generation of four-photon GHZ states on-chip

Mathias Pont, Giacomo Corrielli, Andreas Fyrillas +17

Mutually entangled multi-photon states are at the heart of all-optical quantum technologies. While impressive progresses have been reported in the generation of such quantum light…

quant-ph20221 cited

Experimental genuine tripartite nonlocality in a quantum triangle network

Alessia Suprano, Davide Poderini, Emanuele Polino +6

Quantum networks are the center of many of the recent advances in quantum science, not only leading to the discovery of new properties in the foundations of quantum theory but also…

quant-ph2020

Experimental robust self-testing of the state generated by a quantum network

Iris Agresti, Beatrice Polacchi, Davide Poderini +7

Self-testing is a method of quantum state and measurement estimation that does not rely on assumptions about the inner working of the used devices. Its experimental realization has…

quant-ph2019

Exclusivity graph approach to Instrumental inequalities

Davide Poderini, Rafael Chaves, Iris Agresti +2

Instrumental variables allow the estimation of cause and effect relations even in presence of unobserved latent factors, thus providing a powerful tool for any science wherein caus…

quant-ph2019

Experimental device-independent certified randomness generation with an instrumental causal structure

Iris Agresti, Davide Poderini, Leonardo Guerini +6

The intrinsic random nature of quantum physics offers novel tools for the generation of random numbers, a central challenge for a plethora of fields. Bell non-local correlations ob…

quant-ph2018

Quantum violation of an instrumental test

Rafael Chaves, Gonzalo Carvacho, Iris Agresti +4

Inferring causal relations from experimental observations is of primal importance in science. Instrumental tests provide an essential tool for that aim, as they allow one to estima…