Ph.D. in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Ph.D. obtained in 2026
Dissertation:
Quantum Machine Learning Applications and Algorithms (Abstract)
Tutors:
Bartolomeo Montrucchio Olivier Terzo
Research presentation:
Video presentation PosterProfile
Research topic
Quantum Machine Learning Applications & Algorithms
Keywords
Biography
I worked as RPA Consultant at Reply in 2022, then I started a PhD in Computer Engineering (2022-present) at Politecnico di Torino.
My research is focused on the application of quantum computing to machine learning and to industrial use cases. I spent two months in 2023 at Fermilab (Chicago, USA)¿¿ working on machine learning applied to controlling superconducting qubits with cryogenic electronics.
Teaching
Teachings
Master of Science
- Computer architectures. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Computer architectures. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Computer architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Computer architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Russo, Marco (2026)
Quantum Machine Learning Applications and Algorithms. relatore: MONTRUCCHIO, BARTOLOMEO; TERZO, OLIVIER; , 38. XXXVIII Ciclo, P.: 145
Doctoral Thesis - Bhat, Madhav Narayan; Russo, Marco; Carloni, Luca; Di Guglielmo, Giuseppe; Fahim, Farah; ... (2025)
Machine Learning for Arbitrary Single Qubit Rotations on an Embedded Device. In: QUANTUM MACHINE INTELLIGENCE, vol. 7. ISSN 2524-4906
Contributo su Rivista - Farrugia, Noel; Bonanno, Daniel; Frendo, Nicholas; Xuereb, André; Kosmatos, Evangelos; ... (2024)
European Quantum Ecosystems -- Preparing the Industry for the Quantum Security and Communications Revolution. In: IEEE 2024 International Conference on Quantum Communications, Networking, and Computing (QCNC), Kanazawa (JPN), 01-03 July 2024, pp. 336-340. ISBN: 979-8-3503-6677-8
Contributo in Atti di Convegno (Proceeding) - Russo, Marco; Giusto, Edoardo; Montrucchio, Bartolomeo (2023)
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA (USA), 17-22 September 2023, pp. 219-228. ISBN: 979-8-3503-4323-6
Contributo in Atti di Convegno (Proceeding) - Marceddu, ANTONIO COSTANTINO; Dilillo, Nicola; Russo, Marco; Ferrero, Renato; ... (2023)
A Quantum Adaptation to Roll Truly Random Dice in Role Playing Games. In: 2023 IEEE Conference on Games (CoG), Boston (USA), 21-24 Agosto 2023, pp. 1-4. ISBN: 979-8-3503-2277-4
Contributo in Atti di Convegno (Proceeding) - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)