# Automated tuning of inter-dot tunnel couplings in quantum dot arrays

**Authors:** C. J. van Diepen, P. T. Eendebak, B. T. Buijtendorp, U. Mukhopadhyay,, T. Fujita, C. Reichl, W. Wegscheider, L. M. K. Vandersypen

arXiv: 1803.10352 · 2018-09-03

## TL;DR

This paper presents an automated method for tuning inter-dot tunnel couplings in semiconductor quantum dot arrays, significantly reducing manual effort and advancing scalable quantum computing and simulation.

## Contribution

It introduces an automated tuning technique for inter-dot tunnel couplings, improving efficiency in controlling large quantum dot arrays.

## Key findings

- Successful automation of tunnel coupling tuning
- Reduced tuning time and effort
- Enhanced scalability for quantum dot arrays

## Abstract

Semiconductor quantum dot arrays defined electrostatically in a 2D electron gas provide a scalable platform for quantum information processing and quantum simulations. For the operation of quantum dot arrays, appropriate voltages need to be applied to the gate electrodes that define the quantum dot potential landscape. Tuning the gate voltages has proven to be a time-consuming task, because of initial electrostatic disorder and capacitive cross-talk effects. Here, we report on the automated tuning of the inter-dot tunnel coupling in a linear array of gate-defined semiconductor quantum dots. The automation of the tuning of the inter-dot tunnel coupling is the next step forward in scalable and efficient control of larger quantum dot arrays. This work greatly reduces the effort of tuning semiconductor quantum dots for quantum information processing and quantum simulation.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1803.10352/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/1803.10352/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/1803.10352/full.md

---
Source: https://tomesphere.com/paper/1803.10352