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).

Double quantum dot

Yui Muto, Takumi Aizawa, Motoya Shinozaki, and Tomohiro Otsuka,

2QD_Otsuka1.npy

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'])

Triple quantum dot

1. Yui Muto, Takumi Aizawa, Motoya Shinozaki, and Tomohiro Otsuka, 

    under construction