Zobrazeno 1 - 10
of 1 228
pro vyhledávání: '"Zardini, P"'
Autor:
Abbott, Vincent, Zardini, Gioele
The flow of information through a complex system can be readily understood with category theory. However, negative information (e.g., what is not possible) does not have an immediately evident categorical representation. The formalization of nategori
Externí odkaz:
http://arxiv.org/abs/2404.03224
Autor:
Abbott, Vincent, Zardini, Gioele
The study of abstraction and composition - the focus of category theory - naturally leads to sophisticated diagrams which can encode complex algebraic semantics. Consequently, these diagrams facilitate a clearer visual comprehension of diverse theore
Externí odkaz:
http://arxiv.org/abs/2404.00249
Autor:
Zardini, Enrico, Delilbasic, Amer, Blanzieri, Enrico, Cavallaro, Gabriele, Pastorello, Davide
Support vector machines (SVMs) are widely used machine learning models (e.g., in remote sensing), with formulations for both classification and regression tasks. In the last years, with the advent of working quantum annealers, hybrid SVM models chara
Externí odkaz:
http://arxiv.org/abs/2403.08584
Publikováno v:
Quantum Information and Computation 24 3-4 (2024) 181-209
In the current era, known as Noisy Intermediate-Scale Quantum (NISQ), encoding large amounts of data in the quantum devices is challenging and the impact of noise significantly affects the quality of the obtained results. A viable approach for the ex
Externí odkaz:
http://arxiv.org/abs/2311.09750
Publikováno v:
SciPost Phys. Core 7, 013 (2024)
An Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this paper, we propose a new machine learning model that is based on the I
Externí odkaz:
http://arxiv.org/abs/2310.18411
Autor:
Bizzotto, Andrea, Guzzetta, Giorgio, Marziano, Valentina, del Manso, Martina, Urdiales, Alberto Mateo, Petrone, Daniele, Cannone, Andrea, Sacco, Chiara, Poletti, Piero, Manica, Mattia, Zardini, Agnese, Trentini, Filippo, Fabiani, Massimo, Bella, Antonino, Riccardo, Flavia, Pezzotti, Patrizio, Ajelli, Marco, Merler, Stefano
The time varying reproduction number R is a critical variable for situational awareness during infectious disease outbreaks, but delays between infection and reporting hinder its accurate estimation in real time. We propose a nowcasting method for im
Externí odkaz:
http://arxiv.org/abs/2309.14801
Autor:
Zardini, Gioele, Lanzetti, Nicolas, Belgioioso, Giuseppe, Hartnik, Christian, Bolognani, Saverio, Dörfler, Florian, Frazzoli, Emilio
The evolution of existing transportation systems,mainly driven by urbanization and increased availability of mobility options, such as private, profit-maximizing ride-hailing companies, calls for tools to reason about their design and regulation. To
Externí odkaz:
http://arxiv.org/abs/2308.04820
Publikováno v:
Quantum Machine Intelligence 6 1.23 (2024) 1-22
The k-nearest neighbors (k-NN) is a basic machine learning (ML) algorithm, and several quantum versions of it, employing different distance metrics, have been presented in the last few years. Although the Euclidean distance is one of the most widely
Externí odkaz:
http://arxiv.org/abs/2305.04287
Autor:
Bonomi, Andrea, De Min, Thomas, Zardini, Enrico, Blanzieri, Enrico, Cavecchia, Valter, Pastorello, Davide
Publikováno v:
Quantum Information and Computation 22 3-4 (2022) 181-208
This paper presents the details and testing of two implementations (in C++ and Python) of the hybrid quantum-classical algorithm Quantum Annealing Learning Search (QALS) on a D-Wave quantum annealer. QALS was proposed in 2019 as a novel technique to
Externí odkaz:
http://arxiv.org/abs/2212.11132
Autor:
Valeria d’Andrea, Filippo Trentini, Valentina Marziano, Agnese Zardini, Mattia Manica, Giorgio Guzzetta, Marco Ajelli, Daniele Petrone, Martina Del Manso, Chiara Sacco, Xanthi Andrianou, Antonino Bella, Flavia Riccardo, Patrizio Pezzotti, Piero Poletti, Stefano Merler
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Quantifying the potential spatial spread of an infectious pathogen is key to defining effective containment and control strategies. The aim of this study is to estimate the risk of SARS-CoV-2 transmission at different distances in Italy befo
Externí odkaz:
https://doaj.org/article/5107d7947f084de2bc2f78096068ba44