Quantum Computing

Current atomic quantum processors rely on free-space optical systems that are similar to early university prototypes. These setups that are inherently limited by their physical footprint and complexity. We specialize in the design of novel quantum architectures that leverage nanophotonics and metasurface technology. Our work focuses on integrating these components to enhance system robustness and provide a clear pathway toward large-scale, chip-integrated quantum hardware.

Neutral Atoms

A primary bottleneck in scaling neutral-atom quantum processors and sensors is the complexity of generating large-scale, high-fidelity optical trap configurations. Our research addresses this by utilizing metasurfaces to generate sophisticated holographic optical tweezer arrays. We can significantly increase the number of trapped atoms in a single assembly while maintaining precise spatial control. This approach enables the creation of large, defect-free atomic arrays in a compact form factor, providing a clear engineering path toward thousands of programmable qubits.

Trapped Ions

Trapped-ion systems provide exceptionally long coherence times, but their reliance on complex, multi-wavelength laser setups poses a significant barrier to portability and system integration. We are developing novel architectures that embed integrated photonic circuits directly into ion-trap hardware, routing light for cooling, state preparation, and gate operations via on-chip waveguides and grating couplers. By eliminating the instability of free-space optical paths and introducing metasurfaces for high-performance and efficient beam shaping, we create a robust, scalable and miniaturised optical system to address trapped-ion qubits. This integration is essential for transitioning trapped-ion technology from high-maintenance laboratory setups to reliable, autonomous quantum systems.