This PhD project aims to determine which standard CMOS technology nodes are best suited for building scalable spin qubits—quantum bits made from single electrons in silicon. Spin qubits are promising for quantum computing due to their compatibility with existing semiconductor manufacturing, but it’s unclear which fabrication processes yield optimal performance.
The project will develop a rapid prototyping platform to systematically compare CMOS nodes, helping assess whether quantum processors can be built using conventional microchip tools. It will create a database linking fabrication features to qubit performance.
Research will be conducted within the SEQUEL Lab, combining quantum physics, electronics, and materials science across four key areas:
- Cryo-electronics & multiplexing – Designing circuits for simultaneous qubit measurements at cryogenic temperatures.
- Machine learning – Automating qubit data analysis to accelerate testing.
- High-speed readout – Developing superconducting resonators for fast, CMOS-compatible qubit signal detection.
- Device simulation – Using tools like QTCAD to model how geometry and materials affect qubit behavior.
This work bridges quantum research and industrial fabrication, advancing scalable quantum computing.