Algorithm for automated tuning of a quantum dot to the single electron regime.

Tuning quantum dot devices to an operational target is a time-consuming process. In this work, we have developed an algorithm adapted to quantum dots measured by charge detection with a single electron transistor (SET). The program uses a computer-controlled visual approach, where the tuning of the quantum dot is performed with an intuitive heuristic approach. Small size stability diagrams of the dot and reservoir gates are measured in an adaptive sequence until the last electronic transition of the quantum dot is found. For each stability diagram, the charge detector background is removed and the electron occupancy transitions are identified. From these transition points, lines are reconstructed using a modified Hough transform and other image detection tools. Preliminary tests on previously measured stability diagrams show reliable performances of the algorithm for different samples. This work is a step towards fast automatized initialization of quantum dots arrays.