Marco Russo

Dottorando in Ingegneria Informatica E Dei Sistemi , 38^o ciclo (2022-2025)
Dipartimento di Automatica e Informatica (DAUIN)

Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

marco.russo@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Quantum Machine Learning Applications & Algorithms

Tutori

Bartolomeo Montrucchio
Olivier Terzo

Presentazione della ricerca

Presentazione video

Poster

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.

Competenze

Settori ERC

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE6_14 - Quantum computing (formal methods, algorithms and other computer science aspects)

PE2_13 - Quantum optics and quantum information

Altri incarichi di ricerca o didattica esterni

Professore a contratto, presso Centro di Gestione Autonoma della Scuola Universitaria Interfacoltà in Scienze Strategiche (SUISS) (1/11/2023-31/10/2024)

Didattica

Insegnamenti

Corso di laurea magistrale

Computer architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computer architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computer architectures. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computer architectures. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Ricerca

Gruppi di ricerca

GRAINS - GRAphics and INtelligent Systems (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Russo, Marco; Montrucchio, Bartolomeo (In stampa)
From Classical to Quantum Machine Learning: A Comprehensive Review. In: Springer FAIEMA 2025, Stavanger, Norway
Contributo in Atti di Convegno (Proceeding)
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)