
Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Developing Machine Learning Algorithms using Quantum Computing
Tutors
Research interests
Biography
Teaching
Teachings
Master of Science
- 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
Publications
Latest publications View all publications in Porto@Iris
- Tudisco, Antonio; Volpe, Deborah; Ranieri, Giacomo; Curato, Gianbiagio; Ricossa, Davide; ... (2024)
Evaluating the computational advantages of the Variational Quantum Circuit model in Financial Fraud Detection. In: IEEE ACCESS, vol. 12, pp. 102918-102940. ISSN 2169-3536
Contributo su Rivista