Optimization and implementation of a surface-electrode ion trap junction

TL;DR

This paper presents a bi-objective optimized surface-electrode ion trap junction with integrated optics, advancing scalable modular trapped-ion quantum computing by improving ion transport and laser delivery in large arrays.

Contribution

It introduces a novel bi-objective optimization method for designing ion trap electrodes and integrates optics for parallel laser addressing, enhancing scalability.

Findings

Optimized electrode layout maintains pseudo-potential curvature.

Integrated optics facilitate parallel laser operations.

Design supports scalable, modular quantum computing architectures.

Abstract

We describe the design of a surface-electrode ion trap junction, which is a key element for large-scale ion trap arrays. A bi-objective optimization method is used for designing the electrodes, which maintains the total pseudo-potential curvature while minimizing the axial pseudo-potential gradient along the ion transport path. To facilitate the laser beam delivery for parallel operations in multiple trap zones, we implemented integrated optics on each arm of this X-junction trap. The layout of the trap chip for commercial foundry fabrication is presented. This work suggests routes to improving ion trap junction performance in scalable implementations. Together with integrated optical addressing, this contributes to modular trapped-ion quantum computing in interconnected 2-dimensional arrays.