4 papers
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…
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…
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…
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…