78 citations · 93 across the 9 of their papers we have counts for
4 papers · 1 filter
The non-stabilizerness cost of quantum state estimation
Gabriele Lo Monaco, Salvatore Lorenzo, Alessandro Ferraro +3
We study the non-stabilizer resources required to achieve informational completeness in single-setting quantum state estimation scenarios. We consider fixed-basis projective measur…
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…
Quantum reservoir computing for photonic entanglement witnessing
Danilo Zia, Luca Innocenti, Giorgio Minati +10
Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approach…
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…