Zobrazeno 1 - 10
of 1 274
pro vyhledávání: '"P, Zardini"'
Autor:
Celestini, Davide, Afsharrad, Amirhossein, Gammelli, Daniele, Guffanti, Tommaso, Zardini, Gioele, Lall, Sanjay, Capello, Elisa, D'Amico, Simone, Pavone, Marco
Effective trajectory generation is essential for reliable on-board spacecraft autonomy. Among other approaches, learning-based warm-starting represents an appealing paradigm for solving the trajectory generation problem, effectively combining the ben
Externí odkaz:
http://arxiv.org/abs/2410.11723
Network-based complex systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operators may lead to suboptimal outcomes for users. In this paper, we conside
Externí odkaz:
http://arxiv.org/abs/2409.19409
Traditional round-trip car rental systems mandate users to return vehicles to their point of origin, limiting the system adaptability to meet diverse mobility demands. This constraint often leads to fleet under-utilization and incurs high parking cos
Externí odkaz:
http://arxiv.org/abs/2407.08238
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
Publikováno v:
IEEE Transactions on Quantum Engineering 5 (2024) 1-12
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