Marco Russo

Dottorato in Ingegneria Informatica E Dei Sistemi , 38^o ciclo (2022-2025)

Dottorato concluso nel 2026

Profilo

Argomento di ricerca

Quantum Machine Learning Applications & Algorithms

Interessi di ricerca

Parallel and distributed systems, Quantum computing

Biografia

I obtained a BSc (2019) and a MSc in Computer Engineering (2021) at Politecnico di Torino, with a thesis about designing a state observer based on neural networks for controlling nonlinear systems, applied to robust satellite attitude control, overtaking the performance of Extended Kalman Filters by several orders of magnitude.
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.

Didattica

Insegnamenti

Corso di laurea magistrale

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

MostraNascondi A.A. passati

Ricerca

Gruppi di ricerca

GRAINS - GRAphics and INtelligent Systems

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su 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)

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