In this video, we review the concept of the charge stability diagram as a key type of data input for a significant portion of machine learning tuning tasks. We illustrate different types of charge transitions and the differences between single and double dot regimes.
- The charge stability diagram is a useful visual representation of quantum dot occupation as a function of control voltages.
- We can directly observe charge transitions in the pattern of measured current.
Which of the following is the most accurate description of quantum point contact:
a. An electrode that controls occupation of a quantum dot
b. An electrode that defines a quantum dot
c. An electrode that helps us determine the occupation of a quantum dot
d. An electrode that adjusts all voltages in a quantum dot device
A nice introduction to supervised learning with neural networks: https://ml-lectures.org/docs/supervised_learning_w_NNs/ml_supervised_w_NNs.html
Online book for Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/
Experimental paper that inspired the classification exercise we performed in this course: https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.13.054005 (Arxiv: https://arxiv.org/abs/1911.10709)