activity
20242026
most citedA Python GPU-accelerated solver for the Gross-Pitaevskii equation and applications to many-body cavity QED

8 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Noise-induced classical phases in optimally-unraveled random quantum circuits

Lorenzo Fioroni, Filippo Ferrari, Emanuele Tirrito

We study the classical simulability of open quantum dynamics using random Clifford circuits doped with non-Clifford phase rotations and subject to local noise. We unravel the dynam…

quant-ph2026

Dissipative phase transitions and chaos in two-photon driven quantum optomechanics

Giovanni Bragadin, Filippo Ferrari, Lorenzo Fioroni +4

We investigate nonequilibrium criticality and chaos in a two-photon-driven optomechanical system. The parametric drive preserves a discrete symmetry of the optical f…

cond-mat.quant-gas2026

Density Wave Ordering with Disordered Ultracold Fermions in Optical Cavities

Óscar Rios Alves, Filippo Ferrari, Lorenzo Fioroni +2

We investigate the interplay between cavity-induced density-wave ordering and controllable disorder in a trapped two-dimensional gas of ultracold fermions. The atoms are dispersive…

quant-ph2026

Floquet Dissipative Phase Transitions

Alberto Mercurio, Vincenzo Macrì, Filippo Ferrari +2

Dissipative phase transitions (DPTs) are traditionally characterized through the spectrum of a time-independent Liouvillian superoperator. However, this definition does not apply t…

quant-ph2025★ 3 cited

Entanglement-assisted variational algorithm for discrete optimization problems

Lorenzo Fioroni, Vincenzo Savona

From fundamental sciences to economics and industry, discrete optimization problems are ubiquitous. Yet, their complexity often renders exact solutions intractable, necessitating t…

quant-ph2025

Learning agent-based approach to the characterization of open quantum systems

Lorenzo Fioroni, Ivan Rojkov, Florentin Reiter

Characterizing quantum processes is crucial for the execution of quantum algorithms on available quantum devices. A powerful framework for this purpose is the Quantum Model Learnin…