Search Results for author: Mauro Paternostro

Found 7 papers, 3 papers with code

Regression of high dimensional angular momentum states of light

no code implementations20 Jun 2022 Danilo Zia, Riccardo Checchinato, Alessia Suprano, Taira Giordani, Emanuele Polino, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicolò Spagnolo, Fabio Sciarrino

The Orbital Angular Momentum (OAM) of light is an infinite-dimensional degree of freedom of light with several applications in both classical and quantum optics.

Dimensionality Reduction regression +1

Informational steady-states and conditional entropy production in continuously monitored systems

no code implementations10 Mar 2021 Gabriel T. Landi, Mauro Paternostro, Alessio Belenchia

We put forth a unifying formalism for the description of the thermodynamics of continuously monitored systems, where measurements are only performed on the environment connected to a system.

Quantum Physics Statistical Mechanics

Mixed State Entanglement Classification using Artificial Neural Networks

no code implementations11 Feb 2021 Cillian Harney, Mauro Paternostro, Stefano Pirandola

Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies.

Classification General Classification

An Optomechanical Platform for Quantum Hypothesis Testing for Collapse Models

no code implementations3 Dec 2020 Marta Maria Marchese, Alessio Belenchia, Stefano Pirandola, Mauro Paternostro

Quantum Hypothesis Testing has shown the advantages that quantum resources can offer in the discrimination of competing hypothesis.

Two-sample testing Quantum Physics

Ultrafast critical ground state preparation via bang-bang protocols

1 code implementation14 Jul 2020 Luca Innocenti, Gabriele De Chiara, Mauro Paternostro, Ricardo Puebla

This is of particular significance in critical systems, where the vanishing energy gap challenges an adiabatic ground state preparation.

Quantum Physics Quantum Gases

Machine learning-based classification of vector vortex beams

1 code implementation16 May 2020 Taira Giordani, Alessia Suprano, Emanuele Polino, Francesca Acanfora, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicolò Spagnolo, Fabio Sciarrino

Structured light is attracting significant attention for its diverse applications in both classical and quantum optics.

Quantum Physics

Supervised learning of time-independent Hamiltonians for gate design

5 code implementations19 Mar 2018 Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, Mauro Paternostro

We show how the same conditions can be used to solve the problem numerically, via supervised learning techniques.

Quantum Physics

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