Matteo Robbiati

Postdoctoral Researcher in Quantum Computing

robbiati@chalmers.se matteorobbiati.com (+39) 338 754 4137

Summary

Postdoctoral researcher in quantum computing at the QC2 Lab at Chalmers University of Technology in Göteborg, Sweden. Ph.D. in Physics from CERN with expertise in quantum machine learning, error mitigation, and quantum algorithm development. Core developer of the Qibo open-source quantum computing framework. Experienced in developing and maintaining full-stack quantum computing platforms and educational materials for diverse user skill levels.

Experience

Postdoctoral Researcher in Quantum Computing
QC2 Lab, Chalmers University of Technology
2025 - present
Göteborg, Sweden
Doctoral Researcher
European Organization for Nuclear Research (CERN)
2022 - 2025
Funded by CERN's Quantum Technology Initiative, supervised by the theoretical physics group of the University of Milan. Worked on quantum machine learning algorithms applied to integration, error mitigation, multi-dimensional regression and ground state preparation. Contributed to the development and maintenance of open-source, full-stack frameworks for quantum computing as part of the Qibo collaboration.
Private Teaching
Mathematics and Physics
2016 - 2022
Private teaching of mathematics and physics to high school students.
Research and Data Analysis
La Valle di Ezechiele Cooperative
2021
Investigated how work outside prison can help reduce prisoners' re-offending rate. Examined case studies on the use of social impact bonds to support employment opportunities for ex-prisoners.

Education

Ph.D. in Physics
European Organization for Nuclear Research (CERN), Switzerland
2022 - 2025
Master Degree in Physics
University of Milan, Italy
2019 - 2022
Bachelor Degree in Physics
University of Milan, Italy
2015 - 2019

Skills

Programming Languages
Python C/C++ JavaScript HTML Bash Next.js
Quantum & Data Science Frameworks
Qibo Qiboml NumPy PyTorch TensorFlow Qiskit Cirq PennyLane JAX Pandas Scikit-learn
Visualization & Tools
Matplotlib Seaborn Plotly Inkscape Git SLURM Linux MacOS
Languages
Italian (Native) English (Fluent) Spanish (Intermediate) French (Intermediate) Swedish (Beginner)

Software Projects

Community-driven Packages

Qibo
A full-stack framework for quantum computing with hardware acceleration and classical simulation capabilities. Core developer.
Qiboml
A full-stack hybrid classical-quantum machine learning framework for quantum-classical integration. Core developer.
Qiboedu
Quantum computing educational activities and materials using Qibo for all skill levels. Core developer.
Qibolab
Quantum hardware module and drivers for Qibo, bridging algorithms to quantum hardware. Contributor.
Qibocal
Quantum calibration, characterization and validation module for Qibo. Contributor.
Mpstab
Hybrid Stabilizers-MPO quantum circuit simulator. Core developer.

Project-Specific Tools

QiNNtegrate
Multi-variable numerical integration via quantum machine learning. Core developer.
Adiabatic-fit
Probability density estimation via hybrid gate & analog-based quantum computing. Core developer.
RTQEM
Real-time quantum error mitigation for variational optimization on quantum hardware. Core developer.
BoostVQE
Boosting ground-state preparation with double-bracket quantum algorithms. Core developer.

Publications

Peer-Reviewed

Towards a Global Search for New Physics with Isotope Shifts
Elina Fuchs, Fiona Kirk, Agnese Mariotti, Jan Richter, Matteo Robbiati
2025
DOI arXiv
Simulating Bell inequalities with Qibo
Isabella Masina, Giuseppe Lo Presti, Matteo Robbiati, Michele Grossi
European Journal of Physics, Vol. 46, 035401 (2025)
DOI arXiv
Determining probability density functions with adiabatic quantum computing
Matteo Robbiati, Juan M. Cruz-Martinez, Stefano Carrazza
Quantum Machine Intelligence, Vol. 7, art. 5 (2025)
DOI arXiv
Qibolab: an open-source hybrid quantum operating system
Stavros Efthymiou, Alvaro Orgaz-Fuertes, Rodolfo Carobene, Juan Cereijo, Andrea Pasquale, Sergi Ramos-Calderer, Simone Bordoni, David Fuentes-Ruiz, Alessandro Candido, Edoardo Pedicillo, Matteo Robbiati, Yuanzheng Paul Tan, Jadwiga Wilkens, Ingo Roth, José Ignacio Latorre, Stefano Carrazza
Quantum, Vol. 8, 1247 (2024)
DOI arXiv
Multi-variable integration with a variational quantum circuit
Juan M. Cruz-Martinez, Matteo Robbiati, Stefano Carrazza
Quantum Science and Technology, Vol. 9, 035053 (2024)
DOI arXiv
Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting
Alessandro D'Elia, Boulos Alfakes, Anas Alkhazaleh, Leonardo Banchi, Matteo Beretta, Stefano Carrazza, Fabio Chiarello, Daniele Di Gioacchino, Andrea Giachero, Felix Henrich, A. Stephane Piedjou Komnang, Carlo Ligi, Giovanni Maccarrone, Massimo Macucci, Emanuele Palumbo, Andrea Pasquale, Luca Piersanti, Florent Ravaux, Alessio Rettaroli, Matteo Robbiati, Simone Tocci, Claudio Gatti
Applied Sciences, Vol. 14(4), 1478 (2024)
DOI arXiv
Real-time error mitigation for variational optimization on quantum hardware
Matteo Robbiati, Alejandro Sopena, Andrea Papaluca, Stefano Carrazza
Quantum Machine Intelligence (2024)
DOI arXiv

Pre-Prints

Qiboml: towards the orchestration of quantum-classical machine learning
Matteo Robbiati, Andrea Papaluca, Andrea Pasquale, Edoardo Pedicillo, Renato M. S. Farias, Alejandro Sopena, Mattia Robbiano, Ghaith Alramahi, Simone Bordoni, Alessandro Candido, Niccolò Laurora, Jogi Suda Neto, Yuanzheng Paul Tan, Michele Grossi, Stefano Carrazza
arXiv:2510.11773 (2024)
arXiv
Qibocal: an open-source framework for calibration of self-hosted quantum devices
Andrea Pasquale, Edoardo Pedicillo, Juan Cereijo, Sergi Ramos-Calderer, Alessandro Candido, Gabriele Palazzo, Rodolfo Carobene, Marco Gobbo, Stavros Efthymiou, Yuanzheng Paul Tan, Ingo Roth, Matteo Robbiati, Jadwiga Wilkens, Alvaro Orgaz-Fuertes, David Fuentes-Ruiz, Andrea Giachero, Frederico Brito, José Ignacio Latorre, Stefano Carrazza
arXiv:2410.00101 (2024)
Double-bracket quantum algorithms for high-fidelity ground state preparation
Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale, Xiaoyue Li, Oriel Kiss, Andrew Wright, Renato M. S. Farias, Khanh Uyen Giang, Jeongrak Son, Johannes Knörzer, Siong Thye Goh, Jun Yong Khoo, Nelly H. Y. Ng, Zoë Holmes, Stefano Carrazza, Marek Gluza
arXiv:2408.03987 (2024)

Proceedings of Science

Strategies for optimizing double-bracket quantum algorithms
Li Xiaoyue, Matteo Robbiati, Andrea Pasquale, Edoardo Pedicillo, Andrew Wright, Stefano Carrazza, Marek Gluza
arXiv:2408.07431 (2024)
Beyond full statevector simulation with Qibo
Andrea Pasquale, Andrea Papaluca, Renato M. S. Farias, Matteo Robbiati, Edoardo Pedicillo, Stefano Carrazza
arXiv:2408.00384 (2024)
An open-source framework for quantum hardware control
Edoardo Pedicillo, Alessandro Candido, Stavros Efthymiou, Hayk Sargsyan, Yuanzheng Paul Tan, Juan Cereijo, Jun Yong Khoo, Andrea Pasquale, Matteo Robbiati, Stefano Carrazza
arXiv:2407.21737 (2024)
A quantum analytical Adam descent through parameter shift rule using Qibo
Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale, Stefano Carrazza
41st International Conference on High Energy Physics (2023)

Research Grants

WACQT Summer Internship
Wallenberg Centre for Quantum Technology, Chalmers University of Technology, Sweden
Summer 2026
Selected student for the WACQT summer internship program. Learn more
Automatic Monte Carlo on GPU
Linea 2A, University of Milan, Italy
2021 - 2022
Collaborator

Conference & Workshop Contributions

Double-bracket quantum algorithms for high-fidelity ground state preparation
QT4HEP, CERN (2025)
Quantum Machine Learning in High Energy Physics with Qibo
PyHEP Workshop, Online (2024)
Real-time error mitigation for variational optimization on quantum hardware
ACAT 2024, Stony Brook University, New York (2024)
Full-stack Quantum Machine Learning in High Energy Physics
APS March Meeting 2024, Minneapolis (2024)
Full-stack Quantum Machine Learning using Qibo
Singapore Quantum Tech Meetup, Singapore (2024)
Real-time error mitigation for variational optimization on quantum hardware
QTML2023, CERN (2023)
Determining probability density functions with adiabatic quantum computing
QTML2023 & EQAI2023, CERN & Udine (2023)
qibo: a full-stack framework for simulation, control and calibration of self-hosted qubit devices
INFN Workshop CSN4&5, Torino (2023)
Full-stack Quantum Machine Learning for High Energy Physics
Milan Christmas Meeting 2023, Milan (2023)

Attended Schools & Workshops

LMS Research School Quantum Machine Learning and Hamiltonian Simulation
2025
Skye, Scotland
Spring School on Near-Term Quantum Computing
2024
Benasque, Spain
European Summer School on Quantum AI
2023
Udine, Italy

Teaching & Educational Contributions

Online Course: Quantum Computing with Qibo
Centre of Quantum Technologies, Singapore
Minicourse on Quantum Computing
ICTP, São Paulo, Brazil
Ph.D. School Course: Quantum Machine Learning with Qibo
Como, Italy
Master Thesis Co-supervision
Towards advanced data encoding techniques for quantum re-uploading models — Niccolò Laurora, University of Milan
Bachelor Thesis Co-supervision
Momentum-Based Real Time Quantum Error Mitigation in Variational Quantum Algorithms — Alessandra Esmeraldi, University of Milan Bicocca
Master Thesis Co-supervision
Tensor Network Born Machine — Mattia Robbiano, University of Turin
Bachelor Thesis Co-supervision
The role of non-linear encodings in quantum data reuploading — Laura Pedro-Botet Ezquerra, Universitat Politecnica de Catalunya

Outreach & Volunteering

Scout Educator
AGESCI
2016 - 2022
Organized and managed educational activities and social impact initiatives in the community approximately twice a week, typically involving between 5 and 30 young people aged 13 to 17.
Volunteer
APWOYO Onlus
2019 - 2022
Distributed food and clothes to the homeless in Milan two nights per month.

Reference Contacts

Stefano Carrazza
Associate Professor at University of Milan
Marek Gluza
Postdoctoral Researcher at NTU, Singapore
Juan Manuel Cruz Martinez
Senior Research Fellow at CERN
Yousef Husein
Senior Nuclear Engineer at Blykalla, Sweden