Publications

(2023). Resource frugal optimizer for quantum machine learning. Charles Moussa et al 2023 Quantum Sci. Technol. 8 045019.
(2023). Hyperparameter importance and optimization of quantum neural networks across small datasets. Moussa, C., Patel, Y.J., Dunjko, V. et al. Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach Learn 113, 1941–1966 (2024)..
(2023). Application of quantum-inspired generative models to small molecular datasets. C. Moussa, H. Wang, M. Araya-Polo, T. Bäck and V. Dunjko, “Application of quantum-inspired generative models to small molecular datasets,” 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 342-348..
(2023). Performance comparison of optimization methods on variational quantum algorithms. Phys. Rev. A 107, 032407.
(2022). Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm. EPJ Quantum Technol. (2022) 9: 11.
(2021). Tabu-driven quantum neighborhood samplers. Moussa, C., Wang, H., Calandra, H., Bäck, T., Dunjko, V. (2021). Tabu-Driven Quantum Neighborhood Samplers. In: Zarges, C., Verel, S. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2021. Lecture Notes in Computer Science(), vol 12692. Springer, Cham..
(2020). To quantum or not to quantum: towards algorithm selection in near-term quantum optimization. Charles Moussa et al 2020 Quantum Sci. Technol. 5 044009.