Stefano Mensa

According to our database, Stefano Mensa authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis.

Sean Feeney, Pooja Rao, Andreas Klappenecker, Reuben Tate, Yuri Alexeev, Stefano Mensa, Elica Kyoseva, Stephan J. Eidenbenz

CoRR, May, 2026

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, June, 2025

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, May, 2025

Encoding molecular structures in quantum machine learning.

Choy Boy, Edoardo Altamura, Dilhan Manawadu, Ivano Tavernelli, Stefano Mensa, David J. Wales

Mach. Learn. Sci. Technol., 2025

Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs.

Francesca Schiavello, Edoardo Altamura, Ivano Tavernelli, Stefano Mensa, Benjamin C. B. Symons

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Machine Learning for Minimal Omics Datasets with Large Feature Space Using Embeddings and Feature Selection Techniques.

Mustafa Emre Sahin, Matthew Madgwick, James Strudwick, Vivek Sehra, Oscar Wallis, Hamed Javidi, Anna Paola Carrieri, Laxmi Parida, Lara Jehi, Stefano Mensa, Filippo Utro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

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

2023

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., March, 2023