13 citations · 14 across the 3 of their papers we have counts for
4 papers
Enhancing Variational Quantum Algorithms for Multicriteria Optimization
Ivica Turkalj, Tom Ewen, Pascal Halffmann +3
This paper presents methodological improvements to variational quantum algorithms (VQAs) for solving multicriteria optimization problems. We introduce two key contributions. First,…
The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear Functions
Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque
QAOA is a hybrid quantum-classical algorithm to solve optimization problems in gate-based quantum computers. It is based on a variational quantum circuit that can be interpreted as…
Combinatorial Optimization with Quantum Computers
Francisco Chicano, Gabiel Luque, Zakaria Abdelmoiz Dahi +1
Quantum computers leverage the principles of quantum mechanics to do computation with a potential advantage over classical computers. While a single classical computer transforms o…
Optimising Communication Overhead in Federated Learning Using NSGA-II
José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano +2
Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy. The…