A database that can be utilized in machine learning is important to realize larger-scale quantum devices and systems utilizing informatics approaches.
Here, we prepare such a database.
When you have a publication utilizing this database, please cite this page (https://en.qd.riec.tohoku.ac.jp/database).
GaAs/AlGaAs lateral double quantum dot, Experiment,
Yui Muto, Takumi Aizawa, Motoya Shinozaki, and Tomohiro Otsuka,
Data explanation:
The data is numpy dictionary and the keys are the following.
'x': Gate voltage.
'y': Gate voltage.
'sensor': Charge sensor voltage.
'label': The charge state label: no quantum dot (ND), left (LD), center (CD), right (RD), or double quantum dot (DD). This is one-hot vector labeled with the maximum number of quantum dots.
'index': The index of data.
Python code example:
import numpy as np
data = np.load("2QD_Otsuka1.npy", allow_pickle=True)
data = data.item()
print(data['x'])
print(data['y'])
print(data['sensor'])
print(data['label'])
print(data['index'])
1. Yui Muto, Takumi Aizawa, Motoya Shinozaki, and Tomohiro Otsuka,
under construction