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20192025
most citedSpectral Density Classification For Environment Spectroscopy

17 citations · 59 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2025★ 3 cited

A machine learning based approach to the identification of spectral densities in quantum open systems

Jessica Barr, Shreyasi Mukherjee, Alessandro Ferraro +2

We present a machine learning-based approach for characterising the environment that affects the dynamics of an open quantum system. We focus on the case of an exactly solvable spi…

quant-ph2025★ 1 cited

Machine Learning-Enhanced Characterisation of Structured Spectral Densities: Leveraging the Reaction Coordinate Mapping

Jessica Barr, Alessandro Ferraro, Mauro Paternostro +1

Spectral densities encode essential information about system-environment interactions in open-quantum systems, playing a pivotal role in shaping the system's dynamics. In this work…

quant-ph2024

Criticality-amplified quantum probing of a spontaneous collapse model

Giorgio Zicari, Matteo Carlesso, Andrea Trombettoni +1

Spontaneous collapse models, which are phenomenological mechanisms introduced and designed to account for dynamical wavepacket reduction, are attracting a growing interest from the…

quant-ph2024★ 2 cited

Entanglement distribution through separable states via a zero-added-loss photon multiplexing inspired protocol

Conall J. Campbell, Adam G. Hawkins, Giorgio Zicari +2

The recently proposed zero-added-loss multiplexing (ZALM) source of entangled photons enables higher efficiency in entanglement distribution than spontaneous parametric down-conver…

quant-ph2024

A Reinforcement Learning Approach to the Design of Quantum Chains for Optimal Energy Transfer

S. Sgroi, G. Zicari, A. Imparato +1

We propose a bottom-up approach, based on Reinforcement Learning, to the design of a chain achieving efficient excitation-transfer performances. We assume distance-dependent intera…

quant-ph2024★ 2 cited

The role of initial coherence in the phase-space entropy production rate

Giorgio Zicari, Barış Çakmak, Mauro Paternostro

The second law of thermodynamics can be expressed in terms of entropy production, which can be used to quantify the degree of irreversibility of a process. In this Chapter, we cons…

quant-ph2023★ 17 cited

Spectral Density Classification For Environment Spectroscopy

Jessica Barr, Giorgio Zicari, Alessandro Ferraro +1

Spectral densities encode the relevant information characterising the system-environment interaction in an open-quantum system problem. Such information is key to determining the s…

quant-ph2023★ 5 cited

Non-equilibrium quantum probing through linear response

Sherry Blair, Giorgio Zicari, Alessio Belenchia +2

The formalism of linear response theory can be extended to encompass physical situations where an open quantum system evolves towards a non-equilibrium steady-state. Here, we use t…

quant-ph2022★ 1 cited

Efficient excitation-transfer across fully connected networks via local-energy optimization

S. Sgroi, G. Zicari, A. Imparato +1

We study the excitation transfer across a fully connected quantum network whose sites energies can be artificially designed. Starting from a simplified model of a broadly-studied p…

quant-ph2020★ 13 cited

Assessing the role of initial correlations in the entropy production rate for non-equilibrium harmonic dynamics

Giorgio Zicari, Matteo Brunelli, Mauro Paternostro

Entropy production provides a general way to state the second law of thermodynamics for non-equilibrium scenarios. In open quantum system dynamics, it also serves as a useful quant…

quant-ph2019★ 15 cited

Spin-boson model as a simulator of non-Markovian multiphoton Jaynes-Cummings models

R. Puebla, G. Zicari, I. Arrazola +3

The paradigmatic spin-boson model considers a spin degree of freedom interacting with an environment typically constituted by a continuum of bosonic modes. This ubiquitous model is…