Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Adjunct lecturer/Adjunct instructor
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Developing Machine Learning Algorithms using Quantum Computing
Tutors
Keywords
Teaching
Teachings
Master of Science
- Quantum Hardware Design and Optimization and Quantum Computing (modulo di Quantum Hardware Design and Optimization). A.A. 2025/26, QUANTUM ENGINEERING. Collaboratore del corso
- Materials and Processes for quantum sensing, metrology and qubit devices/Qubit Electronics (modulo di Qubit Electronics). A.A. 2025/26, QUANTUM ENGINEERING. Collaboratore del corso
- Materials and Processes for quantum sensing, metrology and qubit devices/Qubit Electronics (modulo di Qubit Electronics). A.A. 2024/25, QUANTUM ENGINEERING. Collaboratore del corso
- Quantum Hardware Design and Optimization and Quantum Computing (modulo di Quantum Hardware Design and Optimization). A.A. 2024/25, QUANTUM ENGINEERING. Collaboratore del corso
- Materials and Processes for quantum sensing, metrology and qubit devices/Qubit Electronics (modulo di Qubit Electronics). A.A. 2023/24, QUANTUM ENGINEERING. Collaboratore del corso
Research
Research Areas/Fields/Groups
Publications
Latest publications View all publications in Porto@Iris
- Tudisco, Antonio; Hopf, Patrick; Schulte, Linus; Volpe, Deborah; Turvani, Giovanna; ... (2026)
Fidelity-Based Quantum Device Selection Using Graph Neural Networks. In: 2026 IEEE International Conference on Quantum Software (QSW)
Contributo in Atti di Convegno (Proceeding) - Tudisco, Antonio; Volpe, Deborah; Graziano, Mariagrazia; Turvani, Giovanna (2026)
Toward Quantum Circuit Execution Success Estimation via Graph Neural Network-Based Prediction. In: 18th International Conference, RC 2026, Turin (Italy), July 9–10, 2026, pp. 149-163. ISSN 0302-9743. ISBN: 9783032308382
Contributo in Atti di Convegno (Proceeding) - Tudisco, Antonio; Marchesin, Andrea; Zamboni, Maurizio; Graziano, Mariagrazia; Turvani, ... (2026)
Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: Their Impact on Model's Accuracy. In: ADVANCED QUANTUM TECHNOLOGIES, vol. 9. ISSN 2511-9044
Contributo su Rivista - Tudisco, Antonio; Volpe, Deborah; Orlandi, Giacomo; Turvani, Giovanna (2025)
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque (USA), 31 August – 5 September 2025, pp. 296-301
Contributo in Atti di Convegno (Proceeding) - Tudisco, Antonio; Volpe, Deborah; Turvani, Giovanna (2025)
Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models. In: 2025 International Joint Conference on Neural Networks (IJCNN), Roma (ita), 30 June 2025 - 05 July 2025, pp. 1-8
Contributo in Atti di Convegno (Proceeding)