This project aims to improve the performance of superconducting quantum computers by identifying and reducing noise sources that degrade qubit fidelity. Using advanced quantum magnetometry based on nitrogen vacancy (NV) centres in diamond, the research will map magnetic fields at the nanoscale to diagnose imperfections in qubit fabrication.
Key features:
- Quantum sensor: NV spins in diamond offer ~20 nm spatial resolution and high sensitivity across wide temperature and frequency ranges.
- Facilities: Access to a world-first low-temperature scanning NV magnetometer, dilution fridge, cryostats, lasers, single-photon detectors, and a refurbished nanofabrication lab.
- Industrial collaboration: Sponsored by QZabre Ltd., a leading ETH Zurich spin-off specializing in NV-based quantum sensing technologies.
The student will use NV magnetometry to study superconducting circuits, helping optimize qubit design for scalable quantum computing.