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37 results for “Majorana”
Replication data for: Evidence for Dispersing 1D Majorana Channels in an Iron-based Superconductor
<p>Replication Data for: Evidence for Dispersing 1D Majorana Channels in an Iron-based Superconductor</p>
InSb Nanowires with Built-In GaxIn1−xSb Tunnel Barriers for Majorana Devices
<p>This file contains electron transport data and code of the paper "InSb Nanowires with Built-In GaxIn1−xSb Tunnel Barriers for Majorana Devices" Nano Lett. 2017, 17, 2, 721-727 </p>
Greedy optimization of the geometry of Majorana Josephson junctions
<p>Code used to produce figures of "Greedy optimization of the geometry of Majorana Josephson junctions".</p>
Data for "Majorana-like Coulomb spectroscopy in the absence of zero bias peaks"
<p>This repository contains experimental data, scripts used for the data analysis, scripts used for the numerical calculation and the microscopy analysis for the following paper: "Majorana-like Coulomb spectroscopy in the absence of zero bias peaks".</p> <p>Authors: Marco Valentini, Maksim Borovkov, Elsa Prada, Sara Marti-Sanchez , Marc Botifoll , Andrea Hofmann, Jordi Arbiol, Ramon Aguado, Pablo San-Jose, Georgios Katsaros.</p>
Data underlying "Spin-Orbit Protection of Induced Superconductivity in Majorana Nanowires"
<p>This repository contains an extended dataset of raw data underlying <a href="https://doi.org/10.1103/PhysRevLett.122.187702">J.D.S Bommer <em>et al.</em>, Spin-Orbit Protection of Induced Superconductivity in Majorana Nanowires, Phys. Rev. Lett. <strong>122</strong>, 187702 (2019)</a>.</p> <p>It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.</p>
Dataset accompanying "Ballistic Majorana nanowire devices"
<p>Measurement data, data processing and figure generating scripts for Gül et al. "Ballistic Majorana nanowire devices", Nature Nanotechnology 13, 192 (2018). <br> <br> The extended repository contains all the data measured in the context of the experiment (i.e. all measurements from a chip where at least one measurement was part of the paper), that is, more data sets than shown in the paper.</p>
Data and code for "Robust poor man's Majorana zero modes using Yu-Shiba-Rusinov states"
<p>This folder contains the raw data and code used to generate the plots for the paper <i>Robust poor man's Majorana zero modes using Yu-Shiba-Rusinov states</i>.</p><p>To run the Jupyter notebook, install Anaconda and execute:</p><blockquote><p><i>conda env create -f env.yml </i></p></blockquote><p>followed by:</p><blockquote><p><i>conda activate robust-pmm</i></p></blockquote><p>Finally,</p><blockquote><p><i>jupyter lab</i></p></blockquote><p>to launch the notebook.</p><p>Raw data are stored in netCDF (.nc) format. The experimental datasets are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset. Both the experimental and the numerical datasets were saved as netCDF files using xarray built-in function.</p>
Signature of a pair of Majorana zero modes in superconducting gold surface states
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Supplementary data for 'Non-Majorana states yield nearly quantized conductance in proximatized nanowires' and more
<p>Supplementary data for the 'Non-Majorana states yield nearly quantized conductance in proximatized nanowires' paper and ' delocalized states in three-terminal devices' paper</p>
Enhanced proximity effect in zigzag-shaped Majorana Josephson junctions
<p>Dataset and source code for the paper "Enhanced proximity effect in zigzag-shaped Majorana Josephson junctions".</p>
Braiding and all quantum operations with Majorana modes in 1D
<p>Code to obtain a Figure</p>
Data supporting the publication "Optomechanical realization of the bosonic Kitaev-Majorana chain"
<p>Data supporting the publication "Optomechanical realization of the bosonic Kitaev-Majorana chain"</p>
Effects of the electrostatic environment on superlattice Majorana nanowires (dataset)
<p><strong>Description</strong></p> <p>This repository contains the dataset required to reproduce all the figures of the article "Samuel D. Escribano, Alfredo Levy Yeyati, Yuval Oreg, and Elsa Prada,<em> Effects of the electrostatic environment on superlattice Majorana nanowires</em>, arXiv:1904.10289 (2019)".</p> <p> </p> <p><strong>Structure of the dataset</strong></p> <p>All the data is saved in Matlab file-format .mat. Their file names correspond to the figure that they plot. Together with each dataset, there is a Python script .py which plots the corresponding figure. The output of every script is the corresponding figure in PDF-format .pdf. Please, read "reedme.txt" file for further information.</p> <p><br> </p>
Full data for 'Signatures of Majorana fermions in hybrid superconductor-semiconductor nanowire devices' Science 336, 1003-1007 (2012)
<p>This Zenodo record contains full original data pertaining to </p> <p>V. Mourik, K. Zuo, S.M. Frolov, S.R. Plissard, E.P.A.M. Bakkers and L.P. Kouwenhoven</p> <p>Signatures of Majorana fermions in hybrid superconductor-semiconductor nanowire devices</p> <p>Science 336, 1003-1007 (2012)</p> <p><br> ---------------------------------------------</p> <p>Author contributions to this repository:</p> <p>Data were obtained between November 2011 and March 2012 by KZ, VM and SF. The files in the repository were organized by SF. </p> <p>LK supports making data files available but has not contributed and has not checked the quality of the files in this data repository.</p> <p>---------------------------------------------</p> <p>Original data obtained at the time of measurement are in the \Data folder. The folder also contains data selected for the paper.</p> <p>The repository also includes measurement logs (\Logs), and some plotting scripts (\Scipts)</p> <p>Folder \Analyses contains powerpoint files made at the time of measurement helpful for data overview</p> <p>---------------------------------------------</p> <p>Devices studied:</p> <p>N-nanowire-S device 1 (chip name 6F2 device 3 in this repository)<br> Device measured in the dilution refrigerator 'Oxford 200s', at the same time as device 3</p> <p>N-nanowire-S device 2 (chip name 6F4)<br> Device measured in the dilution refrigerator Frossati MCK-50 'Fristi', equipped with a 9-3-1 T vector magnet)</p> <p>M-nanowire-S device 3 (chip name 6F2 device 1 in this repository)<br> Device measured in the dilution refrigerator 'Oxford 200s', at the same time as device 1</p> <p>N-N devices (Chip name 6F8)<br> Devices measured in Frossati MNK fridge 'Big Frossati'</p> <p>S-S devices (Chip name 6E5)<br> Devices measured in the dilution refrigerator 'Oxford 200s'</p> <p>---------------------------------------------</p> <p><br> Data for devcies are obatined using QTLab: https://github.com/heeres/qtlab</p> <p>Most data for device2 are obtained using Igor Pro: https://www.wavemetrics.com/</p> <p><br> ---------------------------------------------<br> Data file types:</p> <p>data_NNN.dat - the original data file obtained at the time of the experiment<br> dataNNN.py - the original QTLab data acquisition script saved with data<br> data_NNN.set - settings of measurement instruments at the time of measurement<br> data_NNN.meta - auxillary file necessary for plotting data using SpyView (see below) </p> <p><br> NNN stands for dataset number, automatically indexex by QTLab</p> <p>--------------------------------------------</p> <p>How to plot data:</p> <p>1) Spyview - a free data plotting program written by Gary Steele</p> <p>Data in this repository can be simply dropped into Spyview for plotting. </p> <p>Spyview also produces and can read .mtx files which are available for some of the data in this repository.</p> <p>https://nsweb.tn.tudelft.nl/~gsteele/spyview/</p> <p><br> 2) QTPlot - a Python plotter written by Ruben van Gulik</p> <p>Data in this repository can be directly opened with QTPlot, which will read axis labels.</p> <p>https://github.com/Rubenknex/qtplot</p> <p>Note: requires PyQT4</p>
Data from: Chiral Majorana fermion modes in a quantum anomalous Hall insulator–superconductor structure
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Full data for 'Ubiquitous Non-Majorana Zero-Bias Conductance Peaks in Nanowire Devices'
<p>This repository contains experimental data for the following paper:<br> Ubiquitous Non-Majorana Zero-Bias Conductance Peaks in Nanowire Devices.<br> Authors: J. Chen, B. D. Woods, P. Yu, M. Hocevar, D. Car, S. R. Plissard, E. P. A. M. Bakkers, T. D. Stanescu, and S. M. Frolov.<br> Content of this repository: </p> <p>Readme file. </p> <p>/RawData/<br> Original data obtained at the time of measurement for devices 0520-840-NW5,0520-840-2,0520-840-NW1,0510-197.</p> <p>/Measurement notes/<br> All the measurement data was summarized in powerpoints, catagorized by the name of the device. Data in the main text was measured on devices 0524-840-NW5 and 0520-840-2, Data in the supplementary information was measured on all the devices.</p> <p>/Data of paper figures/<br> All the organized data files for the figures in the main text and supplementary information.</p> <p>Data file types:<br> data_NNN.dat - the original data file obtained at the time of the experiment<br> dataNNN.py - the original QTLab data acquisition script saved with data<br> data_NNN.set - settings of measurement instruments at the time of measurement<br> data_NNN.meta - auxillary file necessary for plotting data using SpyView (see below) <br> data_NNN.MTX - a simple 2D/3D matrix format developed for Spyview</p> <p>NNN stands for dataset number, automatically indexed by QTLab</p> <p>How to plot data:</p> <p>1) Spyview - a free data plotting program written by Gary Steele</p> <p>Data in this repository can be simply dropped into Spyview for plotting. </p> <p>Spyview also produces and can read .mtx files which are available for some of the data in this repository.</p> <p>https://nsweb.tn.tudelft.nl/~gsteele/spyview/</p> <p><br> 2) QTPlot - a Python plotter written by Ruben van Gulik</p> <p>Data in this repository can be directly opened with QTPlot, which will read axis labels.</p> <p>https://github.com/Rubenknex/qtplot</p> <p>Note: requires PyQT4</p>
Data underlying "Electric field tunable superconductor-semiconductor coupling in Majorana nanowires"
<p>This repository contains an extended dataset of raw data underlying <a href="https://www.doi.org/10.1088/1367-2630/aae61d">M. W A de Moor <em>et al.</em>, Electric field tunable superconductor-semiconductor coupling in Majorana nanowires, New J. Phys. <strong>20</strong>, 103049 (2018)</a></p> <p>It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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