activity
20222026
most citedPopulation spiking and bursting in next generation neural masses with spike-frequency adaptation

29 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Simulating generic single-qubit open-dynamics via polarization-frequency coupling in a photonic interferometer

Kalle Raikisto, Alberto Ferrara, Tom Kuusela +2

We propose a photonic platform for simulating arbitrary single-qubit open-system dynamics using a single photon in an open Mach-Zehnder interferometer. A birefringent quartz plate…

quant-ph2025

A nonlinear quantum neural network framework for entanglement engineering

Adriano Macarone-Palmieri, Alberto Ferrara, Rosario Lo Franco

Multipartite entanglement is a crucial resource for quantum technologies; however, its scalable generation in noisy quantum devices remains a significant challenge. Here, we propos…

quant-ph2025

Tunneling of bosonic qubits under local dephasing through microscopic approach

Alberto Ferrara, Farzam Nosrati, Andrea Smirne +2

We present a microscopic derivation of a master equation for two-component bosons (bosonic qubits) which tunnel between spatially separated modes under local dephasing noise. Start…

quant-ph2024

Entanglement and Coherence Dynamics in Photonic Quantum Memristors

Alberto Ferrara, Rosario Lo Franco

Memristive systems exhibit dynamics that depend on their past states, making them useful as memory units. Recently, quantum memristor models have been proposed and notably, a photo…

quant-ph2024★ 1 cited

GAN decoder on a quantum toric code for noise-robust quantum teleportation

Jiaxin Li, Zhimin Wang, Alberto Ferrara +2

We propose a generative adversarial network (GAN)-based decoder for quantum topological codes and apply it to enhance a quantum teleportation protocol under depolarizing noise. By…

cond-mat.dis-nn2022★ 29 cited

Population spiking and bursting in next generation neural masses with spike-frequency adaptation

Alberto Ferrara, David Angulo-Garcia, Alessandro Torcini +1

Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account the fatigue due to spike emissions and the consequent reduction of the firing activity. We…