3–6 Feb 2026
Europe/Rome timezone

Full-Stack Quantum Engineering at Politecnico di Torino: The Lagrange System

5 Feb 2026, 11:55
20m
Auditorium U12 - Guido Martinotti

Auditorium U12 - Guido Martinotti

Università degli Studi di Milano-Bicocca, Edificio U12, Via Vizzola, 5, 20126 Milano (MI)

Speaker

Giovanna Turvani (Politecnico di Torino)

Description

The Politecnico di Torino has recently acquired Lagrange, a 5-qubit superconducting quantum computer based on the IQM Spark: the first of its kind installed in Italy. The system integrates a full-stack infrastructure that includes a cryogenic QPU operating at 18 millikelvin, a low-noise microwave control chain with tunable couplers and Purcell-filtered readout, and a multilayer software environment (Cortex, EXA and Station Control) for pulse-level access and circuit execution. Its on-premises configuration provides direct physical access to the hardware, a key feature enabling both advanced research and experimental education.
From a research perspective, Lagrange allows the development of compact physical models derived from the extraction of experimental observables, such as qubits crosstalk, gates characterization etc, supporting studies on qubit coherence and device-level parameter studies. The platform can handle relevant algorithms (e.g. QML, optimization) through the circuit knitting technique, where circuits are decomposed into sub-circuits suitable for 5-qubit execution. The system is being leveraged to design and test new FPGA-based qubit-control architectures, designed to react on timescales compatible with qubit coherence. Such low-latency, high-throughput control enables tighter feedback, more adaptive pulse correction, and hardware-level error-mitigation strategies.
In the educational field, Lagrange provides a unique opportunity for students of the new Master Degree in Quantum Engineering to engage directly with a real quantum processor. It supports the study of the full computational framework, from job scheduling to pulse calibration and circuit transpilation, and the testing and validation of quantum algorithms under realistic conditions. The ability to extract and analyze physical parameters also enables the creation of compact models, linking theoretical coursework with experimental practice and preparing the next generation of quantum engineers.

References

On-premises superconducting quantum computer for education and research. Jami Rönkkö at al. Other will be mentioned during the final presentation

Sessions Foundational studies
Invited Yes

Author

Giovanna Turvani (Politecnico di Torino)

Co-authors

Dr Deborah Volpe (INGV) Fabrizio Riente (Politecnico di Torino and INFN Torino) Prof. Mariagrazia Graziano (Politecnico di Torino)

Presentation materials

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