15 citations · 16 across the 2 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
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…