Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
Published May 3, 2022 | Version 1.0.0
Dataset Open

Dataset for 'Unveiling the charge distribution of a GaAs-based nanoelectronic device'

  • 1. PHELIQS, Univ. Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France
  • 2. Univ. Grenoble Alpes, CNRS, Institut Neel, 38000 Grenoble, France
  • 3. nextnano GmbH, Konrad-Zuse-Platz 8, 81829 Munchen, Germany
  • 4. nextnano Lab, 12 chemin des prunelles, 38700 Corenc, France
  • 1. PHELIQS, Univ. Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France
  • 2. Univ. Grenoble Alpes, CNRS, Institut Neel, 38000 Grenoble, France

Description

*********************************************************
This repository contains the raw experimental data associated with the manuscript
"Unveiling the charge distribution of a GaAs-based nanoelectronic device: A large experimental data-set approach"
by Eleni Chatzikyriakou, Junliang Wang et al.
See Arxiv:2205.00846 for more details. 
*********************************************************

***************************************
Content of the different data files
***************************************

The data are stored in 5 different files in the csv format.

* data_1D_4K.csv: current versus gate voltage data for all the samples at 4K. 
The same gate voltage is applied on the Top and bottom gates.

For sample X1Y3, X2Y3, X5Y3 and X6Y3 some additional measurements have been realised :

* data_1D_mk.csv :    top and bottom gates of each QPC have been swept at the same time at 50 mK temperature.

* data_2D_4K_TB.csv : top gate has been swept for different values of the bottom gate at 4K.
* data_2D_mK_TB.csv : top gate has been swept for different values of the bottom gate at 50 mK temperature.
* data_2D_mK_BT.csv : bottom gate has been swept for different values of the top gate at 50 mK temperature.

***********************************
Format of the csv files
***********************************

--- All the data files are in the following format. 

* A given curve "current versus gate voltage" is stored in two consecutive raws. The first one contains the value of the measured current, the second one contains the values of the applied
gate voltages.

* A 2D measurement "current versus top gate and bottom gate" is stored in three consecutive raws. The first one contains the value of the measured current, the second one contains the list of values of voltage applied on one of the gate. The third third raw contains the list of values of voltage applied on the other gate.

--- Each row of a csv file has the following format: 

* The first column identifies the quantum point contact and the quantity. The format is Xx_Yy_QpcNb_Meas.
    - Xx is the column on the chip (from X1 to X6).
    - Yy is the row on the chip (Y1, Y2 or Y3).
    - QpcNb is the number of the qpc (from 1 to 8 or from 9 to 16).
    - Meas is the reported quantity, either the (measured) "current" or the (applied) "voltage"
          or the "TopVoltage" or "BotVoltage" for 2D scans.

* The second column is the unit (A or V).

* The third column is the number of sweeps (1, 2 or 3) performed. 
For some measurements, the same sweep has been done multiple times.

* The fourth column is the design of the quantum point contact (A, B, C, D or E).

* All the following columns contain the measured value. For 2D scans the different values of the gate corresponding to the third raw are placed one after the other.

*******************************
Python scripts for data analysis
*******************************

For convenience, we provide an example python scripts that can be used to load the data and plot them.

extract.py     : Extracts the data into a dictionary and plots the I-V characteristics
extract.ipynb    : jupyter notebook using the different functions of extract.py

type -h for help

Files

data_1D_4K.csv

Files (32.9 MB)

Name Size Download all
md5:b6bdef21626309471577568b80d8c2e8
3.1 MB Preview Download
md5:ec9badacf86dd1f9f0da095555534229
2.1 MB Preview Download
md5:4553242d812f968cdc951b71e6359182
11.8 MB Preview Download
md5:1c18170582dc325d03964b8f8442b138
3.5 MB Preview Download
md5:1139ae73ab92ed050c037fc48a37432b
11.8 MB Preview Download
md5:c0524dfdddb20773fc88ea5004a948e8
52.9 kB Preview Download
md5:5600a16609b5d0346dcafb9003264c7e
4.0 kB Download
md5:01d7c75ef56335531cc3e4ddf97ce410
601.1 kB Preview Download
md5:61b9c822c5f487542c7f1ba7dca7748e
3.2 kB Download

Additional details

Related works

Is cited by
Preprint: arXiv:2205.00846 (arXiv)

Funding

GreQuE – Grenoble Quantum Engineering Doctoral Programme 754303
European Commission
PRESQUE – A predicting platform for designing semiconductor quantum devices 840550
European Commission
UltraFastNano – Electronic generation and detection in nanoelectronic devices at the picosecond scale 862683
European Commission