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16 results for “quasiparticles”
Raw data to "Series expansions in closed and open quantum many-body systems with multiple quasiparticle types"
<p>This collection of data is complementary to the publication "Series expansions in closed and open quantum many-body systems with multiple quasiparticle types", Lea Lenke, Andreas Schellenberger, Kai Phillip Schmidt, <a href="https://arxiv.org/abs/2302.01000">arXiv:2302.01000</a> (<a href="https://arxiv.org/abs/2302.01000">https://arxiv.org/abs/2302.01000</a>).</p> <p>It contains all data used for Figure 2 given in the file `Figure_2_complementary_data.yaml` and all needed data to recalculate the energies of the visualized modes in the files `Figure_2_coefficients_expectation_values.yaml` and `Figure_2_broad_signum_coefficients_expectation_values.yaml`.</p> <p>For the last two files, we used a program to calculate the coefficients. The source code for coefficient calculation is openly available under GitHub (<a href="https://github.com/FAU-kpslab/pcstpp_CoefficientGenerator">https://github.com/FAU-kpslab/pcstpp_CoefficientGenerator</a>) including configuration files to reproduce the coefficients given here.</p> <p>All files are self-consistent, for further information we recommend the comments directly in the files.</p> <p>For further details on the used method pcst<sup>++ </sup>and discussion of the results we refer to the linked publication.</p> <p>If any question may arise, you are highly welcome to contact us (see e.g. contact information on the publication).</p>
Data for A superconductor free of quasiparticles for seconds
<p>Source data for figures in the paper "A superconductor free of quasiparticles for seconds" (https://arxiv.org/abs/2102.00484).</p>
Supporting data for "Measurable fractional spin for quantum Hall quasiparticles on the disk"
<p>Supporting data for the manuscript "Measurable fractional spin for quantum Hall quasiparticles on the disk", by T. Comparin, A. Opler, E. Macaluso, A. Biella, A. P. Polychronakos, L. Mazza.<br> If you use these numerical results in a scientific work, please cite the corresponding article [<a href="https://link.aps.org/doi/10.1103/PhysRevB.105.085125">Phys. Rev. B <strong>105</strong>, 085125 (2022)</a>].<br> For additional details, please contact Tommaso Comparin (tommaso.comparin@ens-lyon.fr).</p> <p>We computed the density profile rho(r) for the Laughlin state (with filling 1/m, for m=2,3,4) and for the Halperin 221 state, by means of Monte Carlo simulations. All data are in units of the magnetic length (that is, with lB=1).<br> When present, labels "QH0", "QH1" and "QH2" in the filenames correspond to the case with q=0, q=1 or q=2 quasiholes localized at the origin.</p> <p><br> Folders:</p> <ul> <li>Data_Laughlin contains the Laughlin density-profile data used to compute the spin values in Fig. 1.</li> <li>Data_Halperin221 contains the Halperin 221 density-profile data used to compute the spin values in Fig. 2. Filenames include a label for the type and number of quasiholes: "A" stands for Gamma=A and q=1; "AA" stands for Gamma=A and q=2; "AB" stands for Gamma=AB and q=1; "AABB" stands for Gamma=AB and q=2.</li> <li>Data_Laughlin_boundary contains the Laughlin density-profile data shown in Fig. 6.</li> <li>Data_Halperin221_boundary_A contains the Laughlin density-profile data shown in Fig. 7, for Gamma=A.</li> <li>Data_Halperin221_boundary_AB contains the Laughlin density-profile data shown in Fig. 7, for Gamma=AB.</li> </ul>
Reproduction package for "Recombination of localized quasiparticles in disordered superconductors"
<p>This is a reproduction package to the paper "Recombination of localized quasiparticles in disordered superconductors". It contains all data and code to reproduce the figures in this paper.</p>
Dataset for Direct visualization of quasiparticle concentration around superconducting vortices
<p>Data for Jian-Feng Ge, et al. “Direct visualization of quasiparticle concentration around superconducting vortices”.</p> <p>The following data files are used for the following figures.</p> <p> Fig. 1 a Illustration figure, no data used<br> b qeff_vs_y_sim.py</p> <p> Fig. 2 a NbSe2_04_220202_0189.txt<br> b NbSe2_05_220503_dIdV_0017.txt<br> NbSe2_07_220822_dIdV_0045.txt<br> c 220210_NbSe2_04_2.3K_map_03.txt<br> d 220824_NbSe2_07_2.3K_spectrum_01.txt<br> 220910_NbSe2_07_2.3K_spectrum_06.txt<br> e 220210_NbSe2_04_2.3K_map_03_qeff.txt<br> f 220824_NbSe2_07_2.3K_spectrum_01_qeff.txt<br> 220910_NbSe2_07_2.3K_spectrum_06_qeff.txt</p> <p> Fig. 3 a NbSe2_04_220202_0180.txt<br> b 220210_NbSe2_04_2.3K_map_01_Rdyn.txt<br> c 220210_NbSe2_04_2.3K_map_01_noise.txt<br> d NbSe2_04_220202_0180_radave.txt<br> e 220210_NbSe2_04_2.3K_map_01_Rdyn_radave.txt<br> f 220210_NbSe2_04_2.3K_map_01_noise_radave.txt</p> <p> Fig. 4 a 220824_NbSe2_07_2.3K_map_01.txt<br> b 220824_NbSe2_07_2.3K_map_01_cuts.txt<br> c qmax_vs_B.txt</p>
Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin"
<p>Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin", https://doi.org/10.48550/arXiv.2203.00104</p> <p>The archive contains the experimental data and the results of numerical calculations as well as plotting scripts/notebooks for the figures presented in the manuscript.</p>
Measurement Matrix and Path Examples for Adaptive Sparse Sampling for Quasiparticle Interference Imaging
<p>precalculated measurement paths used with adaptive sparse sampling for quasiparticle interference imaging. </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: Carrier density crossover and quasiparticle mass enhancement in a doped 5d Mott insulator
<p>High-temperature superconductivity in cuprates emerges upon doping the parent Mott insulator. Key features of the low-doped cuprate superconductors include an effective carrier density that tracks the number of doped holes, the emergence of an anisotropic pseudogap that is characterized by disconnected Fermi arcs, and the closure of the gap at a critical doping level. In Sr<sub>2</sub>IrO<sub>4</sub>, a spin–orbit-coupled Mott insulator often regarded as a 5<em>d </em>analog of the cuprates, surface probes have also revealed the emergence of an anisotropic pseudogap and Fermi arcs under electron doping. However, neither the corresponding critical doping nor the bulk signatures of pseudogap closure have yet been observed. Here we demonstrate that electron-doped Sr<sub>2</sub>IrO<sub>4</sub> exhibits a critical doping level with a marked crossover in the effective carrier density at low temperatures. This is accompanied by a five-orders-of-magnitude increase in conductivity and a sixfold enhancement in the electronic-specific heat. These collective findings resemble the bulk pseudogap phenomenology in cuprates. However, given that electron-doped Sr<sub>2</sub>IrO<sub>4</sub> is non-superconducting, it suggests that the pseudogap may not be a state of precursor pairing. Therefore, our results narrow the search for the key ingredient underpinning the formation of the superconducting condensate in doped Mott insulators.</p>
Data and codes for the work: "Quasiparticle dynamics in a superconducting qubit irradiated by a localized infrared source"
<p>All data and codes used for the work can be found here. </p> <p> </p> <ul> <li>For figures 2 and SM6, one must unzip the files and change the directory in the codes accordingly.</li> <li>For figures 3, SM7 and SM8, one should use the file "Figure3_data.h5", already containing the analysis of the raw data of the pulsed experiment, which is also contained inside the zip file.</li> <li>Comsol 6.2 was used to create the simulation file for the sample temperature.</li> </ul>
Dataset corresponding to "Heavy quasiparticles and cascades without symmetry breaking in twisted bilayer graphene"
<p>Data corresponding to the figures in the manuscript "Heavy quasiparticles and cascades without symmetry breaking in twisted bilayer graphene" published in Nature Communications (2023)</p>
Data from: Carrier density crossover and quasiparticle mass enhancement in a doped 5d Mott insulator
Open the record for dataset details and reuse information.
Data For "Emergence of nodal Bogoliubov quasiparticles across the transition from the pseudogap metal to the d-wave superconductor"
<p>Data used to produce figures in paper "Emergence of nodal Bogoliubov quasiparticles across the transition from the pseudogap metal to the d-wave superconductor" to be published in NPJ quantum materials. All plots will be generated by running corresponding python script with python -W ignore scriptname.py. Scripts are labeled with corresponding figure and normal state. </p>
Data and code for "Quasiparticle effects in magnetic-field-resilient 3D transmons"
<p>This folder contains all data files and Jupyter notebooks needed to recreate the figures of our publication, <br>"Quasiparticle effects in magnetic-field-resilient 3D transmons",<br>written by J. Krause, G. Marchegiani, L. M. Janssen, G. Catelani, Yoichi Ando, and C. Dickel</p> <p>Measurements were done with quantify-core (https://quantify-os.org/docs/quantify-core/)</p> <p>Required python packages are quantify-core (tested to run with version 0.7.4) and all its dependencies, as well as cmcrameri (colormaps used for plots).<br>Qutip is used for master equation solving and Hamiltonian modeling (used version 4.7.5) and hmmlearn (version 0.3.2) for fitting gaussian hidden-markov-models.<br>From a clean conda environment one should just install the above 4 packages and it should work.</p> <p>Content:<br>Data/ <br>Contains the plotted measurement data used in the figures of the paper mostly in csv format.<br>The datasets are loaded and plotted in the respective notebooks for all figures. </p> <p>Data/quantify_datasets/<br>Contains a few quantify datasets (raw data format of quantify measurements)</p> <p>Data/20220710_parity_paper_device_afm/<br>Contains .tiff images and .txt files with AFM data of the device</p> <p>Figures/<br>Contains all paper figures as .pdf files</p> <p>Fits/transmon_spectrum_including_EJ_harmonics<br>Contains some auxiliary fit results so the fits of flux arcs do not have to be repeated.</p> <p>Fits/Gap_vs_Bpar<br>Contains numerical results for the superconducting gap Delta as a function of magnetic field for aluminum films of different thickness.<br>Used to check the cavity data and not used for other modeling.<br>Imported in Jupyter_notebooks/models_transmon_spectrum_including_higher_harmonics.py</p> <p>Jupyter_notebooks/<br>Contains the jupyter notebooks with the code that creates the figures including the relevant calculations and fits and the loading of the data.<br>The notebook name gives the figure(s) it creates.<br>There are several auxiliary .py files and two notebooks that do not make paper figures:</p> <p>Jupyter_notebooks/fit_params.py<br>Contains the fit parameters for the quasiparticle modeling and the transmon spectrum</p> <p>Jupyter_notebooks/models_qp_dynamics.py<br>Contains the functions for quasiparticle modeling vs field and temperature.</p> <p>Jupyter_notebooks/models_transmon_spectrum_including_higher_harmonics.py<br>Contains the models for the field dependent spectrum</p> <p>Jupyter_notebooks/models_cavity_transmon_interaction.py<br>Contains qutip model for the fitting of the transmon-cavity Hamiltonian to estimate the bare-dressed changes.</p> <p>Jupyter_notebooks/fit_quasiparticle_model.ipynb<br>Notebook that shows how the quasiparticle model can be fit to the data<br>Takes a bit longer to execute</p> <p>Jupyter_notebooks/fit_cavity_transmon_interaction.ipynb<br>Looks at a resonator-transmon model to understand the bare-dressed difference and estimate the coupling.<br>Not really used in the paper, except to estimate G. </p>
Data for Reproducing Figures in the paper "Quasiparticles, Flat Bands..."
<p>The archive contains the data and Matlab scripts required to produce the figures in the paper. For further details, such as variable names see the readme.txt file. </p>
Data for "The Wiedemann-Franz law in doped Mott insulators without quasiparticles"
<p>Data for the paper: The Wiedemann-Franz law in doped Mott insulators without quasiparticles</p> <p>Two repositories have been provided for this paper: 'code' (DOI: 10.5281/zenodo.7976147) and 'data' (this repository). Users requiring both for a complete analysis should extract the contents of both repositories and consolidate them into a single folder for convenience. This ensures that the relative paths used in 'dc_data/' in this repository are correct. However, if you are only interested in the final data displayed in the plots, you may download this 'data' repository alone." Consult the README.txt for more details.</p> <p>All the contents include: </p> <p>Determinant-QMC/ [in 'code' (DOI: 10.5281/zenodo.7976147) repository]</p> <p>high-temperature/ [in 'code' (DOI: 10.5281/zenodo.7976147) repository]</p> <p>calculation/ [in 'code' (DOI: 10.5281/zenodo.7976147) repository]</p> <p>calculation_testlambda/ [in 'code' (DOI: 10.5281/zenodo.7976147) repository]</p> <p>dc_data/ </p> <p>WF_plots/</p>
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