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37 results for “majorana”
Majorana Demonstrator Data Release for AI/ML Applications
<p>The enclosed data release consists of a subset of the 228Th calibration data from the Majorana Demonstrator<br> experiment. Each Majorana event is accompanied by raw Germanium detector waveforms, pulse shape discrimina-<br> tion cuts, and calibrated final energies, all shared in an HDF5 file format along with relevant metadata. This release<br> is specifically designed to support the training and testing of Artificial Intelligence and Machine Learning (AI/ML)<br> algorithms upon our data. Please read the following ArXiV posting before using this dataset: https://arxiv.org/abs/2308.10856. Please direct questions about the material provided within this release to liaobo77@ucsd.edu (A. Li).</p>
Data accompanying the manuscript "Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies"
<p>Dataset for figures 2, A6 and A8 for the manuscript: "Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies." The dataset contains the optimal protocols for Majorana transport in both the Kitaev Chain model as well as the Proximity Coupled Semiconduncting Nanowire model obtained with Differentiable Programming and Natural Evolution Strategies. Also the Simulated Annealing (SA) optimal protocols for the Kitaev chain are included.</p>
Numerical data for "Signatures of Kondo-Majorana interplay in ac response"
<p>Raw numerical data used to produce figures 2-8 in the article <em>Signatures of Kondo-Majorana interplay in ac response</em>, published as Phys. Rev. B <strong>109</strong>, 075432 (2024), DOI: 10.1103/PhysRevB.109.075432, and other data obtained within the same project.</p>
Exact solution and Majorana zero mode generation on a Kitaev chain composed out of noisy qubits
<p>Attached are the data sets in forms of python pickle files from the following submission https://arxiv.org/abs/2108.07235</p> <p>Abstract:</p> <p>Majorana zero modes were predicted to exist as edge states of a physical system called the Kitaev chain. Such zero modes should host particles that are their own antiparticles and could be used as a basis for a qubit that is to large extent immune to noise - the topological qubit. However, all attempts to prove their existence gave inconclusive results. Here, I experimentally show that Majorana zero modes do in fact exist on a Kitaev chain composed out of 3 noisy qubits on a publicly available quantum computer. The signature of Majorana zero modes is a degeneracy with the ground state which is not lifted by noise of the quantum computer. I also confirm that Majorana zero modes have a number of theoretically predicted features: a well-defined parity with switches at specific points and a non-conserved particle number. Furthermore, I show that Majorana zero modes favour long-range Majorana pairing at low chemical potential and short-range pairing at large values of the chemical potential. The results presented here are a most comprehensive set of validations ever conducted towards confirming the existence of Majorana zero modes in nature. I foresee that the findings presented here would allow any user with an internet connection to perform experiments with Majorana zero modes. Furthermore, the noisy intermediate scale quantum computing community can start building topological processors composed out of contemporary noisy qubits.</p>
Majorana modes with side features in magnet-superconductor hybrid systems
<p>This repository contains the file parameters_Nb36Mn1_rel_fm_40bandTB.dat with all tight-binding parameters for the normal-state 40-band model, in our paper "Majorana modes with side features in magnet-superconductor hybrid systems".</p>
Dataset for Probing Majorana neutrinos with double-β decay
<p>This dataset includes the plots in the publication "Probing Majorana neutrinos with double-β decay" and its supplementary materials.</p>
Non-Abelian anyon statistics through AC conductance of a Majorana interferometer
<p>We provide the raw data used to produce Fig.3 and Fig.4 of our paper "Non-Abelian anyon statistics through AC conductance of a Majorana interferometer". We also provide a s<span>hematic three-dimensional view of the consid</span><span>ered experimental device for observing non-Abelian braiding </span><span>of Ising anyons via the AC conductance.</span></p>
Simulation of the braiding of Majorana fermions at a crossing
<p>A movie displaying the braiding of Majorana fermions at a T-junction.</p> <p>The results are obtained by our Majorana gate array crossbar simulator implementing the crossing of two Kitaev chains.</p>
Data for "Qubit fractionalization and emergent majorana liquid in the honeycomb floquet code induced by coherent errors and weak measurements"
<p>From the perspective of quantum many-body physics, the Floquet code of Hastings and Haah can be thought of as a measurement-only version of the Kitaev honeycomb model where a periodic sequence of two-qubit XX, YY, and ZZ measurements dynamically stabilizes a toric code state with two logical qubits. However, the most striking feature of the Kitaev model is its intrinsic fractionalization of quantum spins into an emergent gauge field and itinerant Majorana fermions that form a Dirac liquid, which is absent in the Floquet code. Here we demonstrate that by varying the measurement strength of the honeycomb Floquet code one can observe features akin to the fractionalization physics of the Kitaev model at finite temperature. Introducing coherent errors to weaken the measurements we observe three consecutive stages that reveal qubit fractionalization (for weak measurements), the formation of a Majorana liquid (for intermediate measurement strength), and Majorana pairing together with gauge ordering (for strong measurements). Our analysis is based on a mapping of the imperfect Floquet code to random Gaussian fermionic circuits (networks) that can be Monte Carlo sampled, exposing two crossover peaks. With an eye on circuit implementations, our analysis demonstrates that the Floquet code, in contrast to the toric code, does not immediately break down to a trivial state under weak measurements, but instead gives way to a long-range entangled Majorana liquid state.</p>
Enhanced Majorana stability in a three-site Kitaev chain
<p>This repository contains all the raw data and the code used to generate the figures of the article "Enhanced Majorana stability in a three-site Kitaev chain".<br><br>A "kitaev3_simulations.ipynb" notebook generates all the theory simulations and a "kitaev3_figures.ipynb" notebook generates all the figures. To be able to run them you can install anaconda, create a fresh environment and install the proplot, jupyterlab, xarray, netcdf4, tqdm python packages as in the following example:</p> <pre><code>conda create -n kitaev3 python=3.10 conda activate kitaev3 conda install proplot conda install jupyterlab conda install xarray netcdf4 conda install tqdm</code></pre> <p>Alternatively, you can install the environment from the env.yml file we provide and run the notebooks as follows:</p> <pre><code>conda env create -f env.yml conda activate kitaev3 jupyter lab</code></pre> <p>In addition, in "raw_data > databases-and-notebooks" we share the entire QCoDeS databases from which the measurements shown in the manuscript are extracted. They contain the tuning of our device's quantum dots, the optimization of the tunneling barriers and much more. We include our measurement logs in PDF form for easy browsing.</p>
Supercurrent-induced Majorana bound states in a planar geometry
<p>Dataset and source code for the paper "Supercurrent-induced Majorana bound states in a planar geometry".</p>
Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel
<p>Replication Data for: Observation of a Majorana zero mode in a topologically protected edge channel</p>
Interplay of correlations and Majorana mode from local solution perspective
<p>Raw numerical data used to produce figures 2-14 in the article Interplay of correlations and Majorana mode from local solution perspective </p>
Single-electron-charge transfer into putative Majorana and trivial modes in individual vortices
<p>Supporting data for Jian-Feng Ge, et al. “Single-electron-charge transfer into putative Majorana and trivial modes in individual 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 NbSe2_04_220202_0184.txt<br> c FeTeSe_08_210604_0614.txt</p> <p> Fig. 2 a NbSe2_04_220202_0133_raw.txt<br> b NbSe2_04_220202_dIdV_0033_0037_raw.txt<br> c NbSe2_04_220202_0133_raw.txt<br> d NbSe2_04_220202_0133_deconv.txt<br> e NbSe2_04_220202_dIdV_0033_0037_deconv.txt<br> f NbSe2_04_220202_0133_deconv.txt</p> <p> Fig. 3 a FeTeSe_08_210604_0188_raw.txt<br> b FeTeSe_08_210604_dIdV_0121_0122_raw.txt<br> c FeTeSe_08_210604_0188_raw.txt<br> d FeTeSe_08_210604_0188_deconv.txt<br> e FeTeSe_08_210604_dIdV_0121_0122_deconv.txt<br> f FeTeSe_08_210604_0188_deconv.txt</p> <p> Fig. 4 a 220210_NbSe2_04_2.3K_spectrum_06_08.txt<br> b qeff_NbSe2.txt<br> c 210622_FeTeSe08_2.3K_spectrum_06_04.txt<br> d qeff_FeTeSe.txt</p> <p>Supplementary Fig. 1 a PbtipPb111.txt<br> b PbtipAu111.txt<br> c Pbtipfits.txt</p> <p>Supplementary Fig. 2 a Illustration figure, no data used<br> b linecut_raw.txt<br> c linecut_deconv.txt<br> d peak_pos.txt<br> e peak_amp.txt</p> <p>Supplementary Fig. 3 a NbSe2_04_220202_0098_raw.txt<br> b NbSe2_04_220202_0098_c_33_31_a_63_0_raw.txt<br> c NbSe2_04_220202_0098_raw.txt<br> d 220210_NbSe2_04_2.3K_spectrum_04_03.txt<br> e NbSe2_04_220202_0098_deconv.txt<br> f NbSe2_04_220202_0098_c_33_31_a_63_0_deconv.txt<br> g NbSe2_04_220202_0098_deconv.txt<br> h 220210_NbSe2_04_2.3K_spectrum_04_03_qeff.txt<br> i NbSe2_04_220202_0172_raw.txt<br> j NbSe2_04_220202_0098_c_33_35_a_0_63_raw.txt<br> k NbSe2_04_220202_0172_raw.txt <br> l 220210_NbSe2_04_2.3K_spectrum_10_11.txt<br> m NbSe2_04_220202_0172_deconv.txt<br> n NbSe2_04_220202_0098_c_33_35_a_0_63_deconv.txt<br> o NbSe2_04_220202_0172_deconv.txt<br> p 220210_NbSe2_04_2.3K_spectrum_10_11_qeff.txt</p> <p>Supplementary Fig. 4 a FeTeSe_08_210604_0355_raw.txt<br> b FeTeSe_08_210604_0355_c_26_30_a_63_0_raw.txt<br> c FeTeSe_08_210604_0355_raw.txt<br> d 210622_FeTeSe08_2.3K_spectrum_15_14.txt<br> e FeTeSe_08_210604_0355_deconv.txt<br> f FeTeSe_08_210604_0355_c_26_30_a_63_0_deconv.txt<br> g FeTeSe_08_210604_0355_deconv.txt<br> h 210622_FeTeSe08_2.3K_spectrum_15_14_qeff.txt<br> i FeTeSe_08_210604_0463_raw.txt<br> j FeTeSe_08_210604_0463_c_26_27_a_0_0_raw.txt<br> k FeTeSe_08_210604_0463_raw.txt <br> l 210622_FeTeSe08_2.3K_spectrum_27_24.txt<br> m FeTeSe_08_210604_0463_deconv.txt<br> n FeTeSe_08_210604_0463_c_26_27_a_0_0_deconv.txt<br> o FeTeSe_08_210604_0463_deconv.txt<br> p 210622_FeTeSe08_2.3K_spectrum_27_24_qeff.txt</p> <p>Supplementary Fig. 5 a 220210_NbSe2_04_2.3K_spectrum_06_08_qeff.txt<br> b 210622_FeTeSe08_2.3K_spectrum_06_04_qeff.txt</p> <p>Supplementary Fig. 6 a FeSeTe_07_180716_0309_topo.txt<br> b FeSeTe_07_180716_0309_ring.txt<br> c FeTeSe_08_210604_0355_raw.txt<br> d 180809_FeSeTe7_ring_2.5MOhm_3K_map_04.txt<br> e 180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24.txt<br> f 180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24_qeff.txt<br> <br> Supplementary Fig. 7 qeff_vs_qpcontrib.py</p> <p>Supplementary Fig. 8 a FeTeSe_10_211111_didv_FB.txt<br> b FeTeSe_10_211111_didv_FB_ratio_sim.txt</p> <p>Supplementary Fig. 9 220810_NbSe2_06_2.3K_spectrum_01_19.txt</p> <p>Supplementary Fig. 10 a NbSe2_05_220503_dIdV_0017.txt<br> b 220510_NbSe2_05_2.3K_spectrum_01.txt</p>
Data repository accompanying "Many-Body Majorana Braiding without an Exponential Hilbert space"
<p>This repository includes the data and notebooks to generate the figures published in "Many-body Majorana braiding without an exponential Hilbert space".</p>
Zero-energy states in Majorana nanowire devices
<p>Measurement data, data processing scripts, and analysis scripts underlying the figures in chapter 6 and 7 of the doctoral dissertation titled "Zero-energy states in Majorana nanowire devices".</p> <p>This research was conducted at QuTech, Delft University of Technology, under the supervision of Leo Kouwenhoven.</p> <p>A digital version of the dissertation is available at:</p> <p><a href="http://www.repository.tudelft.nl">www.repository.tudelft.nl</a></p>
Non-Majorana-origin of the half-integer conductance quantization elucidated by multi-terminal superconductor-quantum anomalous Hall insulator heterostructure
<p>This folder contains the raw data files used for generating the figures in our preprint (<a href="https://arxiv.org/abs/2411.14903v1">arXiv:2411.14903</a>), "Non-Majorana-origin of the half-integer conductance quantization elucidated by multi-terminal superconductor-quantum anomalous Hall insulator heterostructure", written by A. Uday, G. Lippertz, B. Bhujel, A. A. Taskin, and Y. Ando.</p> <p>The measurement data for each figure are provided in CSV format within the respective folders. Labels and units are specified in the file headers. The figures of the manuscript are also included in PDF format.</p>
Can Caroli-de Gennes-Matricon and Majorana vortex states be distinguished in the presence of impurities?
<p>Code and data from the manuscript "Can Caroli-de Gennes-Matricon and Majorana vortex states be distinguished in the presence of impurities?"</p>
Extended dataset for retracted paper "Quantized Majorana Conductance"
<p>This repository contains an extended dataset of raw data underlying the retracted paper <a href="https://doi.org/10.1038/nature26142">H. Zhang et al, RETRACTED ARTICLE: Quantized Majorana conductance, Nature <strong>556</strong>, 74 (2018)</a></p>
Reproducing topological properties with quasi-Majorana states
<p>Dataset and code for the publication "Reproducing topological properties with quasi-Majorana states".</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.