Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. - Stefano Mensa; Mustafa Emre Sahin; Francesco Tacchino; Panagiotis Kl. Barkoutsos; Ivano Tavernelli (Mach. Learn. Sci. Technol., 2023)

Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs. - Francesca Schiavello; Edoardo Altamura; Ivano Tavernelli; Stefano Mensa; Benjamin C. B. Symons (CoRR, 2024)

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. - Mustafa Emre Sahin; Benjamin C. B. Symons; Pushpak Pati; Fayyaz Minhas; Declan Millar; Maria Gabrani; Stefano Mensa; Jan Lukas Robertus (Quantum, 2024)

Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators. - Mustafa Emre Sahin; Edoardo Altamura; Oscar Wallis; Stephen P. Wood; Anton Dekusar; Declan Millar; Takashi Imamichi; Atsushi Matsuo; Stefano Mensa (CoRR, 2025)

Quantum resources in resource management systems. - Iskandar Sitdikov; Mustafa Emre Sahin; Utz Bacher; Aleksander Wennersteen; Andrew Damin; Mark Birmingham; Philippa Rubin; Stefano Mensa; Matthieu Moreau; Aurelien Nober; Hitomi Takahashi; Munetaka Ohtani (CoRR, 2025)