Algorithm for automated tuning of a quantum dot into the single-electron regime

TL;DR

This paper presents an algorithm that automates the tuning of a quantum dot into the single-electron regime by adaptive measurements and robust image analysis, improving precision and efficiency.

Contribution

The novel algorithm automates quantum dot tuning using adaptive measurements and advanced image analysis, reducing manual effort and increasing robustness.

Findings

Successfully identifies the single-electron regime

Uses adaptive measurement sequences for efficient tuning

Employs noise-robust line detection methods

Abstract

We report an algorithm designed to perform computer-automated tuning of a single quantum dot with a charge sensor. The algorithm performs an adaptive measurement sequence of sub-sized stability diagrams until the single-electron regime is identified and reached. For each measurement, the signal processing module removes the physical background of the charge sensor to generate a binary image of charge transitions. Then, the image analysis module identifies the position and number of lines using two line detection schemes that are robust to noise and missing data.