1 citations · 1 across the 2 of their papers we have counts for
3 papers
Assessing Projected Quantum Kernels for the Classification of IoT Data
Francesco D'Amore, Luca Mariani, Carlo Mastroianni +4
The use of quantum computing for machine learning is among the most promising applications of quantum technologies. Quantum models inspired by classical algorithms are developed to…
Efficient Variational Quantum Algorithms for the Generalized Assignment Problem
Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1
Quantum algorithms offer a compelling new avenue for addressing difficult NP-complete optimization problems, such as the Generalized Assignment Problem (GAP). Given the operational…
Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1
Modern Cloud/Edge architectures need to orchestrate multiple layers of heterogeneous computing nodes, including pervasive sensors/actuators, distributed Edge/Fog nodes, centralized…