Massimiliano Incudini
About Me
I am a computational physicist with a background in computer science and experience in quantum computing theory. I am currently a postdoctoral researcher at SISSA in Trieste.
My current interests are fault-tolerant quantum algorithms, their applications to computational physics and computational genomics, and realistic full-stack resource estimation. My work on quantum Monte Carlo sampling combines algorithm design with end-to-end resource estimates and comparisons against optimized classical implementations. I also study how quantum error correction, qubit layouts, compilation, and magic state factories affect practical performance.
Previously, I worked on randomized benchmarking for triple-dot silicon spin qubits, quantum machine learning, and quantum algorithms for finance.
- Research and Software
- Work Experience
- Education
- Publications
- Talks
- Teaching
- Academic service
- Contact Information
Research and Software
- Fully-quantum Monte Carlo walks: fault-tolerant quantum algorithms for low-temperature Gibbs sampling, with resource estimates and comparisons against optimized classical implementations.
- NeEDL: software for epistasis detection in computational genomics. I developed its quantum computing module.
- QuASK: a Python framework for designing, experimenting with, and assessing quantum and classical kernels.
Work Experience
Academic
- SISSA (Trieste, Italy, 01/2026-present)
- Role: Postdoctoral Researcher
- Fault-tolerant quantum algorithms for Monte Carlo sampling, with end-to-end resource estimation and benchmarking against optimized classical implementations.
- 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 Foundry (Hillsboro, Oregon, 10/2024-09/2025)
- Role: Staff Researcher
- Fault-tolerant quantum computing, resource estimation, quantum error correction implementation, compilers, and leakage-aware randomized benchmarking for silicon quantum-dot qubit platforms.
- Data Reply (Milan, Italy, 07/2021-07/2023)
- Role: Consultant for Quantum and Accelerated Computing
- Developed quantum computing solutions for financial institutions, focusing on computational finance and scalability (part-time).
- Technology Reply (Verona, Italy, 02/2019-07/2021)
- Role: Consultant
- Developed and maintained web services and software architectures for the financial sector (part-time).
- 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
- 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
- Toward useful quantum kernels (2024)
- Authors: Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro
- Journal: Advanced Quantum Technologies
- 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
- Practical advantage beyond the quadratic speedup limit with fully-quantum walks (2026)
- Authors: Incudini M, Mazzola G
- arXiv preprint
- Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer (2026)
- Authors: Rieger C, Schmitz A. T., Salem G, Incudini M, Vallecorsa S, Matsuura A. Y., Grossi M, Guerreschi G. G.
- arXiv preprint
- Testing the presence of balanced and bipartite components in a sparse graph is QMA1-hard (2024)
- Authors: Incudini M, Gyurik C, Molteni R, Dunjko V
- arXiv preprint
Talks
Conferences and workshops
- Computing in High Energy and Nuclear Physics (CHEP) 2024
- Talk title: Automatic and effective discovery of quantum kernels
- 19 October 2024, Kraków
- Presented by Michele Grossi
- 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
- IQM Simulation Seminar Series
- Talk title: Practical advantage beyond the quadratic speedup limit with fully-quantum walks
- 15 September 2026, Munich (online)
- IBM Research Zurich Quantum working group
- Talk title: Practical advantage beyond the quadratic speedup limit with fully-quantum walks
- 2 September 2026, Zurich (online)
- University of Copenhagen, Department of Chemistry
- Talk title: Practical advantage beyond the quadratic speedup limit with fully-quantum walks
- 20 August 2026, Copenhagen
- Quantum Magic Day at SISSA
- Talk title: A Clifford lens on quantum-circuit simulation (with applications to Monte Carlo sampling)
- 27 March 2026, Trieste
- Intel Labs
- Talk title: Toward useful quantum kernels
- 12 April 2024, Santa Clara (remote)
- aQa lab, University of Leiden
- Talk title: A quantum algorithm for spectral clustering via Hodge Laplacian
- 13 March 2024, Leiden
- Unitary Fund
- Talk title: QuASK
- 28 February 2024, Milan (remote)
- 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
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
- QMATH Masterclass on Quantum Error Correction and Fault-Tolerance
- Poster title: Practical advantage beyond the quadratic speedup limit with fully-quantum walks
- 17-21 August 2026, Copenhagen
- Quantum Computing Theory in Practice (QCTiP) 2025
- Poster title: Testing the presence of balanced and bipartite components in a sparse graph is QMA1-hard
- 23-25 April 2025, Berlin
- 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
I have worked as a teaching assistant for university courses at MSc and PhD level, including:
- Teaching Assistant for Advanced Quantum Algorithm course (2025), Phd Physics at SISSA
- Introduction to Qiskit and Quantum walks (4 hours)
- 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)
I have also worked in the public school system as:
- High-school teacher at I.T.I.S. Enrico Fermi, Mantova, Italy (10/2025-12/2025).
Summer schools
- CISM-UNIUD joint advanced school on Quantum Machine and Deep Learning 2023
Academic service
- Reviewer for:
- 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)