activity
20152026
most citedChallenging local realism with human choices

293 citations · 1.3k across the 51 of their papers we have counts for

collaborators
Showing 2024Show all

10 papers · 1 filter

quant-ph2024

Modal division multiplexing of quantum and classical signals in few-mode fibers

Danilo Zia, Mario Zitelli, Gonzalo Carvacho +3

Mode-division multiplexing using multimode optical fibers has been intensively studied in recent years, in order to alleviate the transmission capacity crunch. Moreover, the need f…

quant-ph2024★ 3 cited

Quantum teleportation with dissimilar quantum dots over a hybrid quantum network

Alessandro Laneve, Giuseppe Ronco, Mattia Beccaceci +24

Photonic quantum information processing in metropolitan quantum networks lays the foundation for cloud quantum computing [1, 2], secure communication [3, 4], and the realization of…

quant-ph2024★ 3 cited

Experimental observation of counter-intuitive features of photonic bunching

Giovanni Rodari, Carlos Fernandes, Eugenio Caruccio +14

Bosonic bunching is a term used to describe the well-known tendency of bosons to bunch together, and which differentiates their behaviour from that of fermions or classical particl…

quant-ph2024★ 9 cited

Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source

Giovanni Rodari, Francesco Hoch, Alessia Suprano +6

A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli random variable, outputting another Bernoulli variable whose bias is a function of the inpu…

quant-ph2024★ 12 cited

Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor

Francesco Hoch, Taira Giordani, Luca Castello +9

Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for…

quant-ph2024★ 10 cited

Variational approach to photonic quantum circuits via the parameter shift rule

Francesco Hoch, Giovanni Rodari, Taira Giordani +9

In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum c…