Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm G Acampora, A Chiatto, A Vitiello Applied Soft Computing 142, 110296, 2023 | 23 | 2023 |
Training variational quantum circuits through genetic algorithms G Acampora, A Chiatto, A Vitiello 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 4 | 2022 |
Application of Quantum Genetic Algorithms to Network Signal Setting Design G Acampora, A Chiatto, S De Luca, R Di Pace, A Massa, R Schiattarella, ... 2023 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2023 | 1 | 2023 |
Training circuit-based quantum classifiers through memetic algorithms G Acampora, A Chiatto, A Vitiello Pattern Recognition Letters 170, 32-38, 2023 | 1 | 2023 |
Investigating single-and two-qubits performances in superconducting quantum processors HG Ahmad, P Mastrovito, A Levochkina, R Schiattarella, A Chiatto, ... Bulletin of the American Physical Society, 2024 | | 2024 |
Mitigating Errors on Superconducting Quantum Processors through Fuzzy Clustering HG Ahmad, R Schiattarella, P Mastrovito, A Chiatto, A Levochkina, ... arXiv preprint arXiv:2402.01815, 2024 | | 2024 |
Fuzzy Clustering for QAOA Complexity Reduction G Acampora, A Chiatto, A Vitiello 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-7, 2023 | | 2023 |
Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians G Acampora, A Chiatto, L Coraggio, G De Gregorio, R Schiattarella, ... 2023 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2023 | | 2023 |
A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers G Acampora, A Chiatto, A Vitiello 2023 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2023 | | 2023 |