
Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Quantum Machine Learning Applications and Algorithms for Technology Transfer
Tutors
- Bartolomeo Montrucchio
- Olivier Terzo
Research presentation
Research interests
Biography
In 2022, he started a PhD course at the Politecnico di Torino at the Department of Control And Computer Engineering (DAUIN) under the supervision of Prof. Bartolomeo Montrucchio of the GRAINS group on "Quantum Machine Learning Applications and Algorithms for Technology Transfer".
Given the embryonic stage and the limitations of the NISQ-era Quantum Computing platforms in terms of coherence time, qubit connectivity, etc. a clear Quantum Computing advantage over classical architectures is still to be demonstrated. Hence, the main the objective of the PhD research work is to enable Quantum Machine Learning techniques for industrial and scientific applications, and asses the technology readiness. To this end, it is required to:
- Analyze and identify appropriate use-cases and the most promising QML algorithms
- Optimize, implement and run the hybrid workflows on classical resources and available real quantum devices
- Benchmark the results against state-of-the-art classical Machine Learning methods.
Teaching
Teachings
Master of Science
- Quantum Hardware Design and Optimization and Quantum Computing (modulo di Quantum computing). A.A. 2024/25, QUANTUM ENGINEERING. Collaboratore del corso
Bachelor of Science
- Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Giusto, Edoardo; Iurlaro, Gabriele; Montrucchio, Bartolomeo; Scionti, Alberto; Terzo, ... (2024)
Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal (CA), September 15–20, 2024, pp. 296-305. ISBN: 979-8-3315-4137-8
Contributo in Atti di Convegno (Proceeding) - Vercellino, Chiara; Vitali, Giacomo; Viviani, Paolo; Scionti, Alberto; Terzo, Olivier; ... (2024)
Harnessing DEN models for quantum computing tasks on neutral atom QPUs. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal (CA), September 15–20, 2024, pp. 217-222. ISBN: 979-8-3315-4137-8
Contributo in Atti di Convegno (Proceeding) - Lubrano, Francesco; Vercellino, Chiara; Vitali, Giacomo; Viviani, Paolo; Scionti, ... (2024)
Advanced Resource Allocation in the Context of Heterogeneous Workflows Management. In: WiDE '24: 2nd Workshop on Workflows in Distributed Environments, Athens (GR), 22 April 2024, pp. 14-20. ISBN: 979-8-4007-0546-5
Contributo in Atti di Convegno (Proceeding) - Vercellino, Chiara; Vitali, Giacomo; Viviani, Paolo; Giusto, Edoardo; Scionti, Alberto; ... (2023)
BBQ-mIS: a parallel quantum algorithm for graph coloring problems. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA (USA), September 17–22, 2023, pp. 141-147. ISBN: 979-8-3503-4323-6
Contributo in Atti di Convegno (Proceeding) - Viviani, Paolo; Gesmundo, Ilaria; Ghinato, Elios; Agudelo-Toro, Andres; Vercellino, ... (2023)
Deep Learning for Real-Time Neural Decoding of Grasp. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in DatabasesT (ECML PKDD 2023), Turin (Italy), September 18–22, 2023, pp. 379-393. ISSN 0302-9743. ISBN: 978-3-031-43426-6
Contributo in Atti di Convegno (Proceeding)