Training Variational Quantum Circuits through Genetic Algorithms. - Giovanni Acampora; Angela Chiatto; Autilia Vitiello (CEC, 2022)

Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians. - Giovanni Acampora; Angela Chiatto; Luigi Coraggio; Giovanni De Gregorio; Roberto Schiattarella; Autilia Vitiello (CEC, 2023)

Application of Quantum Genetic Algorithms to Network Signal Setting Design. - Giovanni Acampora; Angela Chiatto; Stefano de Luca; Roberta Di Pace; Alfredo Massa; Roberto Schiattarella; Autilia Vitiello (CEC, 2023)

A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers. - Giovanni Acampora; Angela Chiatto; Autilia Vitiello (CEC, 2023)

Fuzzy Clustering for QAOA Complexity Reduction. - Giovanni Acampora; Angela Chiatto; Autilia Vitiello (FUZZ, 2023)

Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm. - Giovanni Acampora; Angela Chiatto; Autilia Vitiello (Appl. Soft Comput., 2023)

Training circuit-based quantum classifiers through memetic algorithms. - Giovanni Acampora; Angela Chiatto; Autilia Vitiello (Pattern Recognit. Lett., 2023)

A Web Application for Training Quantum Classifiers via Evolutionary Algorithms. - Giovanni Acampora; Carlos Cano Gutierrez; Angela Chiatto; José Manuel Soto-Hidalgo; Autilia Vitiello (FUZZ, 2024)

Application of Quantum Genetic Algorithms to Connected and Electric Vehicles Energy Consumption Optimization. - Giovanni Acampora; Angela Chiatto; Stefano de Luca; Roberta Di Pace; Chiara Fiori; Enrico Landolfi; Alfredo Massa; Roberto Schiattarella; Autilia Vitiello (RTSI, 2024)

A Performance Study of Genetic Algorithms-Based Quantum Approximate Optimisation in the Context of Power Networks. - Angela Chiatto; Amir Alizadeh; Giovanni Acampora; Autilia Vitiello; Amir Pourabdollah; Ahmad Lotfi (UKCI, 2024)

EVOVAQ: EVOlutionary algorithms-based toolbox for VAriational Quantum circuits. - Giovanni Acampora; Carlos Cano Gutierrez; Angela Chiatto; José Manuel Soto-Hidalgo; Autilia Vitiello (SoftwareX, 2024)