Massimiliano Incudini
About Me
I am a computer scientist by training, with a PhD in quantum
machine learning. My interests lie at the intersection of quantum
computing and network science, with a focus on biological
systems. I work on assessing the real-world impact of quantum
algorithms through logical-level resource estimation and performance
simulation across fault-tolerant architectures, adapting
qubit layouts, quantum error correction codes, and magic
state factory designs to specific hardware requirements.
- Ongoing Projects
- Work Experience
- Education
- Publications
- Talks
- Teaching
- Academic service
- Contact Information
Ongoing Projects
- QUASK is a quantum machine learning software written in Python that supports researchers in designing, experimenting, and assessing different quantum and classic kernel performances.
Work Experience
Academic
- LIACS, University of Leiden (Leiden, Netherlands, 02/2024–05/2024)
- Role: Visiting Scientist
- Developed quantum algorithms for topological data analysis and higher-order networks in collaboration with Prof. Vedran Dunjko.
- CERN (Meyrin, Switzerland, 02/2023-05/2023)
- Role: Visiting Scientist
- Investigated overparameterized machine learning models and applications in high-energy physics
- University of Verona (Verona, Italy, 10/2021-10/2024)
Industrial
- Intel (10/2024-today)
- Data Reply (Milan, Italy, 07/2021-07/2023)
- Role: Consultant for Quantum and Accelerated Computing
- Development of Quantum Computing solutions for problems in the financial industry
- Technology Reply (Verona, Italy, 02/2019-07/2022)
- Role: Consultant
- Web services development and maintenance for the financial sector
- Edulife (Verona, Italy, 09/2018-01/2019)
- Role: Full-Stack Developer
- Development of e-learning platforms based on Microsoft software stack (C#, SQL Server, ASPX)
- Antek (Mantova, Italy, 07/2015-02/2016)
- Role: Full-Stack Developer
- Device driver development for telecommunication systems
Education
- PhD in Computer Science, University of Verona, Verona, Italy, 2021–2024
- Thesis: On the construction of useful quantum kernels (2025)
- MSc in Computer Science Engineering, University of Verona, Verona, Italy, 2021
- BSc in Computer Science, University of Verona, Verona, Italy, 2018
- Technical Diploma, I.T.I.S Enrico Fermi, Mantova, Italy, 2015
Publications
Journal papers
- Automatic and effective discovery of quantum kernels (2024)
- Authors: Massimiliano Incudini et al.
- Journal: IEEE Transactions on Emerging Topics in Computational Intelligence
- Network medicine-based epistasis detection in complex diseases: ready for quantum computing (2024)
- Authors: Hoffmann M et al.
- Journal: Nucleic Acids Research
- The Quantum Amplitude Estimation Algorithms on Near-Term Devices: A Practical Guide (2024)
- Authors: Marco Maronese, Massimiliano Incudini, Luca Asproni, Enrico Prati.
- Journal: Quantum Reports
- Resource saving via ensemble techniques for quantum neural networks (2023)
- Authors: Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge
- Journal: Quantum Machine Intelligence
- Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks (2023)
- Authors: Michele Grossi, Massimiliano Incudini, Mathieu Pellen & Giovanni Pelliccioli
- Journal: The European Physical Journal C
- The Quantum Path Kernel: a generalized neural tangent kernel for deep quantum machine learning (2023)
- Authors: Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, and David Windridge
- Journal: IEEE Transactions on Quantum Engineering
- Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning (2023)
- Authors: Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, and Michele Grossi
- Journal: Quantum Machine Intelligence
- Computing graph edit distance on quantum devices (2022)
- Authors: Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni, Alessandra Di Pierro, and Antonio Mandarino
- Journal: Quantum Machine Intelligence
- Facial expression recognition on a quantum computer (2021)
- Authors: Riccardo Mengoni, Massimiliano Incudini, and Alessandra Di Pierro.
- Journal: Quantum Machine Intelligence
Conference papers
Preprints
Talks
Conferences and workshops
- Quantum Techniques for Machine Learning (QTML) 2023
- Talk title: Higher-order topological kernels via quantum computation
- 25 November 2023, Meyrin
- Abstract available here
- EurOPT 2023
- Talk title: Computing graph edit distance on quantum devices
- 25 August 2023, Budapest
- Abstract available here
- Quantum Science Days (QSD) 2023
- Talk title: Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
- 30 May 2023, remote workshop
- Abstract available here (archive) and talk recorded on Youtube
- Quantum Techniques for Machine Learning (QTML) 2022
- Talk title: Genetic Algorithms for Constructing Quantum Embeddings and Ensembling Techniques for Quantum Neural Networks
- 9 November 2022 in Naples, Italy
- Abstract available here
(archive)
- Federated Logic Conference (FLOC) 2022 GuttmanFest
- Talk title: Quantum Machine Learning and Fraud Detection
- 12 August 2022, remote conference
- Conference program available here
(archive)
Seminars
- Institute for Computational Systems Biology, University of Hamburg
- Talk title: Quantum Computing: between the skepticism and the hype
- 8 September 2023 at the University of Hamburg (in presence event)
- Group website here
- IBS Physics Colloquium 2023 @ Daejeon
- Talk title: Resource Saving via Ensemble Techniques for Quantum Neural Networks
- 23 May 2023 at IBS Center for Theoretical Physics of Complex Systems (PCS), Daejeon, South Korea (remote talk)
- Talk recorded on Youtube and abstract available here
(archive 1 2)
- Institute for Computational Systems Biology, University of Hamburg
- Talk title: (Markus Hoffmann & Massimiliano Incudini & Amelie Fitz) Combining network-medicine and quantum computing to unravel the genetic architecture of heritable diseases in the future
- 15 May 2023 at the University of Hamburg (remote talk)
- Group website here
- CERN QTI Lectures
- Talk title: On the construction of useful quantum kernels
- 29 March 2023 in CERN, Meyrin, Switzerland (both in presence and remote event)
- Talk recorded on CERN Indico and Youtube
Summer schools
- CISM-UNIUD joint advanced school on Quantum Machine and Deep Learning 2023
- Talk title: Introduction to the Qiskit Framework and its Application in Machine Learning
- 29-31 May 2023 at International Centre for Mechanical Sciences (CISM), Udine, Italy (in presence event)
- Abstract available here
- CISM-UNIUD joint advanced school on Quantum Machine Learning 2022
- Talk title: Seeking advantage with Quantum Kernels
- 16 September 2022 at International Centre for Mechanical Sciences (CISM), Udine, Italy (in presence event)
- Abstract available here
(archive)
Poster presentations
- Theory of Quantum Computation, Communication and Cryptography (TQC) 2023
- Poster title: The Quantum Path Kernel: a Generalized Neural Tangent Kernel for Deep Quantum Machine Learning
- 24-28 July 2023 in Aveiro, Portugal
- International Conference on Quantum Technologies for High-Energy Physics (QT4HEP) 2022
- Poster title: Genetic Algorithms for Constructing Quantum Embeddings
- 1-4 November 2022 at CERN, Meyrin, Switzerland
Teaching
Courses
- Teaching Assistant for Quantum Computing course (6 CFU, April-June 2022), MSc Computer Science at University of Verona
- Laboratory part: Introduction to the Qiskit Framework and its applications (12 hours)
- Teaching Assistant for Quantum Computing course (6 CFU, April-June 2021), MSc Computer Science at University of Verona
- Laboratory part: Introduction to the Qiskit Framework and its applications (12 hours)
Summer schools
- CISM-UNIUD joint advanced school on Quantum Machine and Deep Learning 2023
Academic service
- Reviewer for: Quantum Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IOP Quantum Science and Technology, IOP Journal of Physics A
- Program Committee member for: Quantum Techniques for Machine Learning (QTML) 2023 (archive)
- Supervisor for:
- Davide Tezza, MSc Mathematics at the University of Trento
- Thesis title: Design automatization of quantum machine learning algorithms
- I have been co-supervisor of Davide as part of its internship at Data Reply, together with Alessandro Oneto (professor at the University of Trento) in January - October 2022
- Andrea Senese, MSc Computer Science Engineering at the University of Torino
- Thesis title: Quantum unsupervised kernel learning applied to LHCb
- I have been co-supervisor of Andrea together with Luca Roversi (professor at the University of Torino) and Alessandra di Pierro (professor at the University of Verona)
- Daniele Lizzio Bosco, MSc Computer Science at the University of Udine
- Thesis title: Automatic Discovery of Kernels for Quantum Anomaly Detection
- I have been co-supervisor of Daniele together with Giuseppe Serra (professor at the University of Udine) and Alessandra di Pierro (professor at the University of Verona)