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44 results for “Josephson junction”

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zenodo48/100

Driving a low critical current Josephson junction array with a mode-locked laser

<p>Data for article &quot;Driving a low critical current Josephson junction array with a mode-locked laser&quot;.</p>

opencc-by-4.0Jun 2021View details →
zenodo48/100

Evidence of dual Shapiro steps in a Josephson junction array

<p>QCodes type databases containing raw data associated with the paper &quot;Evidence of dual Shapiro steps in a Josephson junctions array&quot; by N. Crescini, S. Cailleaux et al. acquired in the Institut Neel, CNRS, Grenoble, France between January 2022 and June 2022.</p> <p>There are two databases: one contains the characterization of the sample without microwave pump and the other one contains the study of the sample under microwave irradiation.</p> <p>Two Jupyter notebooks (python 3.8.11) are provided to analyze the datasets contained in the databases and reproduce the results of the article.</p> <p>For any additional information please contact: nicolo.crescini@neel.cnrs.fr or samuel.cailleaux@neel.cnrs.fr</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo48/100

Experimental data for Quantum noise limited microwave amplification using a graphene Josephson junction

<p>This dataset was used in our study of &quot;Quantum noise limited microwave amplification using a graphene Josephson junction&quot;.</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"

<p>Data and code for &quot;Probing the current-phase relation of graphene Josephson junctions using microwave measurements&quot;</p>

opencc-by-4.0Jul 2020View details →
zenodo40/100

Data repository accompanying "Flux-tunable Josephson Effect in a Four-Terminal Junction"

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo40/100

Measured and analyzed raw data for publication "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://doi.org/10.1038/s43246-024-00497-1)

<p>The data provided by this dataset are the raw data published in the paper "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://www.nature.com/articles/s43246-024-00497-1).&nbsp;</p> <p>It can be found:</p> <p>-In the folder figure2_IV, the current-voltage characteristics (IV) of standard Superconductor-Insulator-Superconductor Josephson Junctions (SIS JJ) and of Superconductor-Insulator-Ferromagnet-thin superconductor- Superconductor Josephson Junctions (SIsFS JJ) at 10 mK&nbsp;</p> <p>-In the folder figure2_IVH, the magnetic dependence of the critical current of the SIsS and SIsFS at 10 mK</p> <p>-In the folder figure3_IVHT, the magnetic dependence of the critical current of the SIsFS as a function of the temperature T</p> <p>-In the figure4_gamma, the experimental and theoretical dependence of&nbsp; \gamma, i.e., the magnetic moment of the S-layers normalized to the F-layer in absolute value, as a function of the characteristic energy of the inverse proximity effect</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Measured and analyzed raw data for publication "Phase dynamics of tunnel Al-based ferromagnetic Josephson junctions"(https://doi.org/10.1063/5.0211006)

<p>The dataset provided here reports raw data published in June 2024 (Phase dynamics of tunnel Al-based ferromagnetic Josephson junctions): current-voltage I-V characteristics as a function of the temperature T; switching current distributions (SCD) as a function of T and calculated mean switching currents, standard deviations and skewness from the SCDs and superconducting branch resistance R0 as a function of the temperature. All the data for magnetic and non-magnetic Josephson junctions have been acquired, as highlighted in the corresponding reference.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Josephson potentials for single impurity Anderson impurity in a junction between two superconductors

<p>This is a collection of the results from an extensive set of numerical renormalization group (NRG) calculations for the single-impurity Anderson model coupled to two superconducting leads described by the Bardeen-Cooper-Schrieffer (BCS) Hamiltonian, with a&nbsp; superconducting phase difference phi.</p> <p>All calculations are performed for the same BCS gap Delta=0.1. Each subdirectory contains the data sets for a given value of charge repulsion parameter U. In each case the hybridisation Gamma and the on-site potential delta=epsilon+U/2 are swept. For each of these, the phase difference phi is swept from 0 to pi in 50 steps.</p> <p>Contents<br> ========<br> U=0.01<br> U=0.05<br> U=0.1<br> U=0.125<br> U=0.25<br> U=0.4<br> U=0.5<br> U=0.5-asymmetry<br> U=0.5-B=0.001<br> U=0.5-B=0.01<br> U=0.5-B=0.02<br> U=0.5-B=0.03<br> U=0.5-B=0.04<br> U=0.5-Bsc=0.001<br> U=0.5-Bsc=0.01<br> U=0.5-Bsc=0.04<br> U=0.5-new<br> U=0.5-z=0.5<br> U=0.75<br> U=1<br> U=1.25-new<br> U=1.5-new<br> U=1.75-new<br> U=2<br> U=3</p> <p>Each directory contains the input file (param) and a set of perl scripts for running the calculations, as well as for post-processing the results. For most cases, there are also Mathematica notebooks for visulisation of the results, as well as a collection of plots (pdf files) of the key properties.</p> <p>The raw results are contained in the archive raw.tar. The Josephson potentials are contained in another archive, results-final.tar.gz. Finally, the results are also stored in tabulated files Vr_1.dat, Vr_2.dat, Va_1.dat, Va_2.dat. The parsing of these files is demonstrated in the Mathematica notebook files.</p> <p>Directories with -new in the name contain the results in an extended range of the hybridisation Gamma and on-site potential epsilon.</p> <p>Directories with -z=0.5 in the name contain the results of a calculation for a different discretization mesh in the NRG for testing discretization effects (those are small for the quantity of main interest, the Josephson potential).</p> <p>Directories with -B=value in the name contain the results for the case with a local magnetic field (Zeeman term) applied on the impurity site, while those with -Bsc=value in the name contain the results for the case with a magnetic field in the superconductor.</p> <p>The calculations have been performed with the NRG code &quot;NRG Ljubljana&quot;, https://github.com/rokzitko/nrgljubljana, http://nrgljubljana.ijs.si/, commit number e6f73ff299d155c6ca9aefded45d67c48f34de0e.</p> <p>The computation has been performed on HPC VEGA, https://doc.vega.izum.si/.</p> <p>Note added at a later time: The U=2 data set contains some outliers due to premature termination of some calculations; the outliers are easy to spot, however.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Critical current fluctuations in graphene Josephson junctions.

<p>Experimental dataset for article &ldquo;Critical current fluctuations in graphene Josephson junctions.&rdquo;</p> <p>Scientific Reports <strong>11</strong>, 19900 (2021). <a href="https://doi.org/10.1038/s41598-021-99398-3">https://doi.org/10.1038/s41598-021-99398-3</a></p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

Signatures of interactions in the Andreev spectrum of nanowire Josephson junctions

<p>Data arXiv:2112.05625</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

Dataset for "Self-heating effects and switching dynamics in graphene multiterminal Josephson junctions"

<p>Dataset containing raw measurement data and simulation results for the manuscript "Self-heating effects and switching dynamics in graphene multiterminal Josephson junctions".</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

A METAS VNA Tools project which contains S-parameter data of a CPW containing 3000 Josephson Junctions operated at 4 Kelvin, 10 Kelvin and 25 Kelvin with currents up to 200 mA

<p>A METAS VNA Tools project which contains S-parameter data of a CPW containing 3000 Josephson Junctions on a 1cmx1cm silicon chip made from intrinsic silicon. The chip is operated at 4 Kelvin, 10 Kelvin and 25 Kelvin with currents up to 200 mA for further heating injected. The temperature, current and DC resistance are noted in each filename.</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction

<p>This dataset&nbsp;comprises all data shown in the figures of the submitted article &quot;Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction&quot;. Additional raw data are available from the corresponding author on reasonable request.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction

<p>This repository contains all the raw data and the code used to generate the figures of the article "Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction".</p> <ul> <li>The plotting.ipynb notebook creates the majority of the figures. To run it you need to install proplot. Create a fresh python environment for it, since you might need to downgrade numpy to the 1.19.5 version and matplotlib to the 3.4.3 one. To install the relevant python packages and open the notebook you can download Anaconda and use the following terminal instructions:<br> <pre><code>conda create -n andreev-trimer python=3.10 conda activate andreev-trimer conda install proplot conda install jupyterlab xarray netcdf4 tqdm jupyter lab</code></pre> extraction-3D.ipynb extracts the charge degeneracy points from 3D charge stability diagram measurements. To run it you need to install scikit-image. If you want to export additional .gif images install imageio as well:<br> <pre><code>conda install scikit-image imageio</code></pre> </li> <li>To visualize the 3D charge stability diagrams (Figure 5) you can use plotting-3D.ipynb. To run it you need to install pyvista. A dedicated environment is recommended. To install pyvista and run it with JupyterLab use the following instructions:<br> <pre><code>conda create -n pyvista python=3.9 conda activate pyvista conda install nodejs pip install jupyter pyvista trame jupyter lab</code></pre> </li> <li>Finally, simulations.ipynb computes all the theoretical simulations. To run it you need cython and you can install it in a dedicated environment using the following instructions:<br> <pre><code>conda create -n theory conda activate theory conda install jupyterlab matplotlib cython scipy jupyter lab</code></pre> </li> </ul>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Circuit-QED characterization of a topological Josephson junction

<p>The search for topological superconductivity in topological insulator (TI) nanowires have attracted a lot of interest due to potential applications in the field of topologically protected quantum computation [1-3]. One route to emulate unconventional superconductivity is to build a topological Josephson junction from a TI nanowire (Bi<sub>2</sub>Se<sub>3</sub>) connected to two conventional superconducting electrodes (Al). Such topological Josephson junctions are expected to host Majorana zero-energy modes (bound states) when they are phase-biased at pi. The bound state spectrum of a junction hosting several transport modes consists of topological trivial Andreev bound states and topologically protected Majorana bound states. The phase dependence of those bound states has been studied experimentally using a circuit-QED-like setup, where the topological junction is embedded in a superconducting resonator. Here the frequency response of the coupled resonator/junction system to an externally applied magnetic field (phase bias) at various temperatures is used to deduce information about the phase dependence of the bound state spectrum of the junction. I detail, the contributions to the junction dissipation (which is directly reflected in the inverse quality factor of the coupled resonator/junction system) originating from zero-energy bound states and topological trivial Andreev bound states are rather distinct, which is mainly reflected in their phase bias dependence around and their evolution in temperature.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Geometric focusing of supercurrent in hourglass-shaped ballistic Josephson junctions

<p>Dataset and code for publication &quot;Geometric focusing of supercurrent in hourglass-shaped ballistic Josephson junctions&quot;</p>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Supporting dataset for "Numerical analysis of Josephson junction arrays for multi-order quantum voltage steps"

<p>The TXT&nbsp; files in the <strong>IV_SIN_Beta_0.00-Njj_1.zip</strong> zipped folder include the simulated IV characteristics in normalized units for an overdamped Josephson junction, as described by the RSJ model. This simulation is performed in Python and considers various bias currents and junction parameters.</p> <p>The junction is biased by both a dc current and an ac (rf) current at a normalized frequency <em><strong>&Omega;_rf</strong></em> and rf-current amplitude<strong> <em>i_rf</em></strong>.</p> <p><em>&Omega;_rf</em> ranges from 0.2 to 2 in steps of 0.05.<br><em>i_rf</em> ranges from 0 to 4 in steps of 0.1.<br>The dc current varies from 0 to 6 in steps of 0.015.</p> <p>In addition to normalized current and voltage, fundamental to determine the width and position of rf-induced Shapiro steps, other relevant parameters (supercurrent and total dissipated power) are also calculated.</p> <p>The filename is organized as follows (example):</p> <p><strong>IV_SIN__Beta_0.00-Omega_rf_2.000-I_rf_4.000-N_jj_1.txt</strong></p> <ul> <li><strong>IV</strong>: Indicates that the IV characteristic can be extracted from this data (first two columns)</li> <li><strong>SIN</strong>: Specifies that the rf current bias is sinusoidal.</li> <li><strong>Beta_0.00</strong>: Indicates that the Stewart-McCumber parameter (<em>&beta;</em>) of the junction is 0, meaning that the junction is overdamped.</li> <li><strong>Omega_rf_2.000</strong>: Indicates that the normalized rf frequency is 2.</li> <li><strong>I_rf_4.000</strong>: Indicates that the normalized rf current is 4.</li> <li><strong>N_jj_1</strong>: Indicates that a single Josephson junction is simulated.</li> </ul> <p>Each data file consists of four columns and 400 rows (excluding the header). The columns respectively represent Current, Voltage, Supercurrent, and Power, all expressed in normalized units.</p>

opencc-by-sa-4.0Oct 2024View details →
zenodo36/100

Impurity Knight shift in quantum dot Josephson junctions

<p>Supplemental material for the publication &quot;Impurity Knight shift in quantum dot Josephson junctions&quot;, arXiv:2212.07185. Includes input files for NRG calculations and a Wolfram Mathematica notebook with perturbative calculations.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Magnetic-field-free nonreciprocal transport in graphene multi-terminal Josephson junctions

<p>Dataset for &quot;Magnetic-field-free nonreciprocal transport in graphene multi-terminal Josephson junctions&quot; manuscript</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Data from: Mapping the topological proximity-induced gap in multiterminal Josephson junctions

Open the record for dataset details and reuse information.

publicNov 2024View details →

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