CV

Calibration of SRF cavities using Quantum Machines control systems (OPX100 and OPX+ with Octave)

Developed automatic calibration routines using Qualibrate

Calibrated the Novera Rigetti QPU using the OPX1000 platform

Developed the infrastructure for auto-calibrating the Novera QPU and making it accessible on the cloud for users

Characterization of multiple qubits using frequency multiplexing strategies; performed the first qubit measurements ever conducted within the engineering department

Management of the laboratory’s dilution refrigerator infrastructure

Microwave path engineering: component sizing/selection, system characterization using RF instrumentation (VNA, spectrum analyzer); maximizing available SNR in the readout chain without relying on quantum-limited amplifiers

Developed FPGA-based qubit control and readout using the QICK platform, adapting it to their experimental setup; achieved comparable performance to off-the-shelf commercial qubit controllers while significantly reducing hardware costs

Established a remote-access infrastructure for qubit experiments (JupyterLab server)

Trained and supervised master’s students in laboratory research, focused on qubit calibration procedures

Designed and analyzed QPCB, a custom pulse frequency conversion board, using microwave EM simulations (ADS Keysight)

Engineered Qubase, a high-level Python pulse sequencer for the QICK FPGA platform, leveraging rustworkx for sequence graph analysis

Applied Qubase to characterize 2D and 3D superconducting qubits and support advanced quantum experiments (e.g. parallel fast-decay detection sequence)

Automated calibration workflows for high-throughput measurements

Directed development of University of Pisa’s EV race car (Electronics & Software Divisions) for the 2023-2024 season

Achieved a significant performance improvement at Formula Student Germany 2024, finishing 11 positions higher in overall ranking vs previous year, and ranking as the only Italian team to successfully complete the endurance event

Approved and validated engineering projects; oversaw high-voltage battery systems

Administered and maintained the team’s GitLab server; coordinated CI pipelines; reviewed pull requests and issue workflows

Fostered team cohesion through structured team-building initiatives; organized personnel logistics and supervised technical activities

Developed firmware drivers for TFT LCD displays on a custom embedded OS using Infineon PSoC ARM microcontrollers

Contributed to layout and enhancement of the company’s development kit PCB, integrating Cypress and nRF PSoC platforms

Led development of embedded software for onboard PCB systems

Implemented components of the Vehicle Control Unit using the FreeRTOS real-time OS

Engineered a multi-architecture bootloader (ARM/AVR) with CAN bus support, enabling rapid firmware updates for inaccessible microcontrollers in time-critical scenarios

Conducted unit and integration testing of firmware modules; co-developed a virtualization framework enabling Model-in-the-loop and Software-in-the-loop testing of firmware prior to deployment on physical hardware

Advisors: Professor Nikos Hardavellas, Professor Kaitlin Smith

Research interests: compilers, algorithms, and infrastructure for fault-tolerant quantum computing (FTQC), quantum error correction, and quantum control, with a focus on the 3D SRF cavity bosonic mode qudit approach

Thesis: “Superconducting qubit readout and control system based on FPGA and development of a pulse sequencer”

Advisors: Professor Massimo Macucci, Professor Stefano Di Pascoli, Dr. David Van Zanten

Thesis: “Dispersive readout of the Transmon qubit”

Advisor: Professor Massimo Macucci

Engineered a neural-network-based handwritten digit recognizer on Altera DE10-Lite (MAX10 FPGA)

Built a Python digital twin for training and quantization

Implemented custom Verilog drivers for touchscreen control and LT24 visualization

Simulated a dual-axis MEMS accelerometer with T-shaped beams using COMSOL

Analyzed device performance and application range, benchmarked against lumped-element models

Designed a servo-actuated Rubik’s Cube solver robot controlled by an S32K144EVB

Developed using Simulink Model-Based Design

Built a digital twin of the complete robotic system

Modeled and simulated a SpaceFibre-compatible 6.25GHz PLL using SG25H4 0.25µm SiGe BiCMOS technology

Evaluated system stability and performance metrics

Average 30% improvement in students’ grades

Individual lessons and orchestral performances with the Poliziana Orchestra at the Cantiere Internazionale d’Arte di Montepulciano

Recipient of three merit-based scholarships from that foundation