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125 results for “Quantum Dots”
Data and Code for Spin and Orbital Spectroscopy in the Absence of Coulomb Blockade in Lead Telluride Nanowire Quantum Dots
<p>This repository contains combined data for two papers. </p> <p>Growth of PbTe nanowires by Molecular Beam Epitaxy<br> Authors: Sander G. Schellingerhout, Eline J. de Jong, Maksim Gomanko, Xin Guan, Yifan Jiang, Max S.M. Hoskam,<br> Sebastian Koelling, Oussama Moutanabbir, Marcel A. Verheijen, Sergey M. Frolov, Erik P.A.M. Bakkers</p> <p><br> Spin and Orbital Spectroscopy in the Absence of Coulomb Blockade in Lead Telluride Nanowire Quantum Dots<br> Authors: M. Gomanko, E.J. de Jong, Y. Jiang, S.G. Schellingerhout, E.P.A.M. Bakkers, and S.M. Frolov</p> <p><br> Content of this repository: </p> <p>Readme file. </p> <p>/RawData/<br> Original data obtained at the time of measurement separated into 3 folders from different chips/cooldowns<br> Data from devices 1,3 and 4 can be found in "RawData/PbTe_chip1", device 2 in "RawData/PbTe_chip2" and devices 5-8 in "RawData/PbTe_GBg"</p> <p>/Measurement notebooks/<br> OneNote notebook with 4 different sections for 3 chips (two sections for backgate chip). Pages in these sections contain the device number in the name.<br> Also, the same notebook is exported in pdf format for convenience.</p> <p>/Data processing/<br> Readme file, Jupiter notebooks, data files, and pictures, that were used to extract g-factors for different field orientations in device2.</p> <p>/Data summaries/<br> Powerpoints, that were used to overview data during the measurement stage.<br> Not all data from these powerpoints are present in the repository or paper (specifically excluding early data used in "additional backgate devices.pptx" and "PbTe 3rd device.pptx").</p> <p>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) <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><br> 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>
Probing two-electron multiplets in bilayer graphene quantum dots
<p>Data and scripts used to generate the figures in the publication<br> "Probing two-electron multiplets in bilayer graphene quantum dots" by S. Möller et al., Phys. Rev. Lett. 127, 256802, https://doi.org/10.1103/PhysRevLett.127.256802 are available here.</p> <p> </p>
Nonlinear down-conversion in a single quantum dot
<p>This repository contains original experimental and theoretical data which belongs to the manuscript "Nonlinear down-conversion in a single quantum dot" by B. Jonas, D. Heinze, E. Schöll, P. Kallert, T. Langer, S. Krehs, A. Widhalm, K. D. Jöns, D. Reuter, S. Schumacher, and A. Zrenner</p>
Data and analysis for the paper "Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots"
<p>This repository contains the raw data and analysis code used to generate the figures in the manuscript <em>Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots</em>. </p> <p><a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.106.064503">Link to publication</a></p> <p><a href="https://arxiv.org/abs/2110.05373">Link to arXiv</a></p>
Data from: Coupled vertical double quantum dots at single-hole occupancy
<p>Figures and Data for the paper "<span>Coupled vertical double quantum dots at single-hole</span><br><span>occupancy</span>" by A. Ivlev and H. Tidjani et al.</p> <p>See Readme file for details on replotting the figures.</p>
Supporting data for 'Loading a quantum-dot based "Qubyte" register'
<p>Supporting data and analysis scripts for all figures in the paper "Loading a quantum-dot based "Qubyte" register", arXiv:1901.00426 (preprint).</p> <p>This dataset consists of a folder in which two python scripts and a folder are stored in which all the relevant datasets (json format) are sorted per figure. The python script 'paper_script' can be used to analyze and plot the datasets in the 'paper_data' folder, reproducing the figures presented in the manuscript. The python script 'methods_and_matrix' is a supporting script containing functions used in the 'paper_script' file.</p>
Dataset for Wenz et al. Phys. Rev. B 99, 201409(R) (2019), "Quantum dot state initialization by control of tunneling rates"
<p>Collection of the datasets used to generate the figures in the following journal paper:</p> <p>"Quantum dot state initialization by control of tunneling rates"<br> Tobias Wenz, Jevgeny Klochan, Frank Hohls, Thomas Gerster, Vyacheslavs Kashcheyevs, and Hans W. Schumacher<br> PHYSICAL REVIEW B 99, 201409(R) (2019)</p> <p>DOI: 10.1103/PhysRevB.99.201409</p>
Supporting data and code for "Nagaoka ferromagnetism observed in a quantum dot plaquette"
<p>This supplement contains the files needed to reproduce the all the figures in the main article. It contains the raw data from measurements and Python scripts to reproduce the figures made from the experimental data, as well as scripts that implement the extended Hubbard models used to make the simulated spectra and charge stability diagrams shown in the article figures.</p> <p>Refer to the readme.txt file for detailed information on each of the files.</p>
Ground state properties of quantum dots provided by VMC and RBM
<p>Raw slurm output files from the computer cluster Abel for the simulations of quantum dots using variational Monte Carlo (VMC) and restricted Boltzmann machines (RBM). The files contain the energy expectation value, energy distribution, acceptance ratio, and statistical error for every iteration in all the performed simulations. For the final iteration, the blocking method is used to achieve an accurate error estimation.</p>
Source data for the publication "Single-shot latched readout of a quantum dot qubit using barrier gate pulsing"
<p>This repository contains data and source code for the publication "Single-shot latched readout of a quantum dot qubit using barrier gate pulsing."</p>
Experimental online quantum dots charge autotuning using neural networks - Output data
<p>Outputs of the model training and the online autotuning experiments presented in the paper: "Experimental online quantum dots charge autotuning using neural networks".</p> <p>Each folder in the zipped files represent a run that includes:</p> <ul> <li>log file</li> <li>plots / images</li> <li>run settings</li> <li>performance results</li> <li>pytorch model parameters</li> </ul> <p>See README.txt for more information about the file strucutre.</p>
Nonequilibrium steady-state thermoelectrics in Kondo-correlated quantum dots: Data
<p>Data sets generated using NRG-tDMRG for the manuscript titled "Nonequilibrium steady-state thermoelectric in the Kondo-correlated quantum dots".</p>
Self-assembled molecules for hole extraction in efficient inverted PbS quantum dot solar cells
Open the record for dataset details and reuse information.
Photophysical and Spectroscopic dataset for Carrier Dynamics and Recombination in Ag-In-Zn-S Quantum Dots
<p>(1) HR-TEM images of alloyed AgIn<sub>1.5</sub>Zn<sub>1.9</sub>S<sub>3.6</sub> (A1) and AgIn<sub>1.5</sub>Zn<sub>4.4</sub>S<sub>6.8</sub> (A2) nanocrystals.</p> <p>(2) Energy-dispersive spectra of alloyed AgIn<sub>1.5</sub>Zn<sub>1.9</sub>S<sub>3.6</sub> (A1) and AgIn<sub>1.5</sub>Zn<sub>4.4</sub>S<sub>6.8</sub> (A2) nanocrystals.</p> <p>(3) UV-vis-NIR spectra of A1 nanocrystals and A1-MV, where the nanocrystals are conjugated with methyl viologen (MV2+) molecules.</p> <p>(4) (a) Normalized PL decays of A1 nanocrystals measured at various detection wavelengths, (b and c) PL decays measured at room temperature for A1 and A2 nanocrystals, (d and e) PL decays measured at various temperatures for A1 and A2 nanocrystals.</p> <p>(5) Transient absorption (TA) spectra for A1 nanocrystals for various pump-probe delays.</p> <p> </p> <p>This work was supported by National Science Centre Poland Grant No. 2019/35/B/ST3/04235.</p> <p>P.K., P.B., and A.P. acknowledge the financial support from the National Science Centre of Poland, Grant No. 2022/45/B/ST5/02120.</p>
Accurate photon echo timing by optical freezing of exciton dephasing and rephasing in quantum dots
<p>Dataset of the publication “Accurate photon echo timing by optical freezing of exciton dephasing and rephasing in quantum dots“, ( <a href="https://doi.org/10.1038/s42005-020-00491-2">https://doi.org/10.1038/s42005-020-00491-2</a> ). The zip file includes the data on which the plots shown in figures 2-5 of the main text, and supplementary figures S1-S5 are based.</p>
Controlling the emission time of photon echoes by optical freezing of exciton dephasing and rephasing in quantum-dot ensembles
<p>Dataset of the publication “Controlling the emission time of photon echoes by optical freezing of exciton dephasing and rephasing in quantum-dot ensembles“, <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11684/2576887/Controlling-the-emission-time-of-photon-echoes-by-optical-freezing/10.1117/12.2576887.short?SSO=1">Proc. SPIE 11684,116840X (2021)</a> ( <a href="https://doi.org/10.1117/12.2576887">https://doi.org/10.1117/12.2576887</a> ). The zip file includes the data on which the figures are based, the gnuplot files for the figures, and an explaining readme.txt.</p>
Supporting data for "Spin-valley coupling in single-electron bilayer graphene quantum dots"
<p>Supporting data and analysis scripts for all figures in the article "Spin-valley coupling in single-electron bilayer graphene quantum dots", preprint: https://arxiv.org/abs/2103.04825</p> <p>The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. </p> <p>The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1</p>
Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots
<p>Dataset of the publication "Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots" (10.1103/PhysRevB.104.085308)</p>
04. Quantum dot tunneling through triple low barrier
<p>04. Quantum dot tunneling through triple low barrier</p> <p>In this video Visualization of Quantum dot tunneling with light packet is performed with triple low barrier. Quantum dot passes through the triple low barrier.</p>
03. Quantum dot tunneling through double low barrier
<p>03. Quantum dot tunneling through double low barrier</p> <p>In this video Visualization of Quantum dot tunneling with light packet is performed with single double low barrier. Quantum dot passes through the double low barrier.</p>
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.