
About me
I am a PhD student in Information Engineering and Computer Science at the University of Trento (Italy), and currently a visiting researcher at QML-CVC. I received both my BSc and MSc in Computer Science from the same institution. My research focuses on ensemble methods in Quantum Machine Learning, particularly for supervised learning, where I investigate model aggregation strategies to enhance robustness and scalability in NISQ-era settings.
Publications
- Nagies, S., Tolotti, E., Pastorello, D., Blanzieri, E.: Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test. (2025) (arXiv:2506.16938).
- Tolotti, E., Blanzieri, E., Pastorello, D.: A weighted quantum ensemble of homogeneous quantum classifiers. Quantum Machine Intelligence. (2025) (10.1007/s42484-025-00323-y).
- Tolotti, E., Zardini, E., Blanzieri, E., Pastorello, D.: Ensembles of quantum classifiers. Quantum Information & Computation 24(3&4), 181–209 (2024) (10.26421/QIC24.3-4-1).
Contact information
E-mail: emiliano.tolotti@unitn.it
LinkedIn: https://www.linkedin.com/in/emiliano-tolotti-58b0b1272/
Scholar: https://scholar.google.com/citations?user=5xkGv8EAAAAJ&hl=it
