4 papers
Quantum Adaptive Search: A Hybrid Quantum-Classical Algorithm for Global Optimization of Multivariate Functions
G. Intoccia, U. Chirico, V. Schiano Di Cola +2
This work presents Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for the global optimization of multivariate functions. The method employs an adaptive mechan…
Quantum-Enhanced Spectral Solution of the Poisson Equation
G. Intoccia, U. Chirico, G. Pepe +1
We present a hybrid numerical-quantum method for solving the Poisson equation under homogeneous Dirichlet boundary conditions, leveraging the Quantum Fourier Transform (QFT) to enh…
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato, Lingyu Qiu, Mohammad Tanveer +3
One-shot FL enables collaborative training in a single round, eliminating the need for iterative communication, making it particularly suitable for use in resource-constrained and…
A sojourn-based approach to semi-Markov Reinforcement Learning
Giacomo Ascione, Salvatore Cuomo
In this paper we introduce a new approach to discrete-time semi-Markov decision processes based on the sojourn time process. Different characterizations of discrete-time semi-Marko…