activity
20232026
most citedA native measurement-based QAOA algorithm, applied to the MAX K-CUT problem

22 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Efficient simulation of noisy entanglement generation

Lorenzo Brevi, Federico Grasselli, Alessandro Caraceni +3

End-to-end entanglement distribution is a key capability of upcoming quantum networks, enabling applications like distributed quantum computing, quantum sensor networks, and secure…

quant-ph2024★ 3 cited

Quantum machine learning algorithms for anomaly detection: A review

Sebastiano Corli, Lorenzo Moro, Daniele Dragoni +2

The advent of quantum computers has justified the development of quantum machine learning algorithms , based on the adaptation of the principles of machine learning to the formalis…

quant-ph2023★ 8 cited

Simulating photonic devices with noisy optical elements

Michele Vischi, Giovanni Di Bartolomeo, Massimiliano Proietti +4

Quantum computers are inherently affected by noise. While in the long-term error correction codes will account for noise at the cost of increasing physical qubits, in the near-term…

quant-ph2023★ 16 cited

Phase Noise in Real-World Twin-Field Quantum Key Distribution

Gianluca Bertaina, Cecilia Clivati, Simone Donadello +9

The impact of noise sources in real-world implementations of Twin-Field Quantum Key Distribution (TF-QKD) protocols is investigated, focusing on phase noise from photon sources and…

quant-ph2023★ 22 cited

A native measurement-based QAOA algorithm, applied to the MAX K-CUT problem

Massimiliano Proietti, Filippo Cerocchi, Massimiliano Dispenza

Photonic quantum computers, programmed within the framework of the measurement-based quantum computing (MBQC), currently concur with gate-based platforms in the race towards useful…