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123 results for “qubits”
Data for Reducing leakage of single-qubit gates for superconducting quantum processors using analytical control pulse envelopes
<p>This dataset contains the experimental data used in the figures of the paper "Reducing leakage of single-qubit gates for superconducting quantum processors using analytical control pulse envelopes" by E. Hyyppä, A. Vepsäläinen, ..., and J. Heinsoo published in PRX Quantum 5, 030353 (2024): https://doi.org/10.1103/PRXQuantum.5.030353.</p> <p>The data is stored mostly as csv-files, the contents of which are explained in the readme-files. Each subfolder corresponds to one figure of the paper and also contains a Jupyter Notebook for plotting the data. The subfolders S1-S10 correspond to the supplementary figures, i.e., figures 6-15 in the Appendix of the paper.</p> <p>Furthermore, we provide a Jupyter notebook in the folder Code_to_plot_FAST_and_HD_DRAG_pulses/ that provides Python functions for evaluating and plotting the proposed FAST DRAG and HD DRAG pulses in time domain and frequency domain. Please cite our paper if you use the Python code for your published research.</p> <p>The notebooks have been tested using the following Python package versions<br>Python 3.11<br>scipy 1.14.1<br>numpy 2.1.0<br>matplotlib 3.9.2</p>
A dissymmetric [Gd2] coordination molecular dimer hosting six addressable spin qubits. Open data sets
<p>Includes data relevant for publication with DOI <a href="https://doi.org/10.1038/s42004-020-00422-w">10.1038/s42004-020-00422-w</a> plus a table with information about how the data were obtained and processed.</p>
Demonstrating real-time and low-latency quantum error correction with superconducting qubits
<p>Data associated with results presented in "Demonstrating real-time and low-latency quantum error correction with superconducting qubits".</p> <p>HDF5 files include raw data collected during experiments. Datasets for experiments performed with different number of measurement rounds are saved in separate groups. The group attributes contain information including the total number of measurement rounds. Groups also contain the stim circuits associated with each experiment, which are used for software decoding, and qubit_mappings, which maps each stim coordinate to the corresponding qubit ID on the Ankaa-2 device. Each group has a hard_measurements and soft_measurements group containing the hard and soft measurement results. Measurement results are grouped in datasets per qubit, storing results in the order of measurement execution during the experiment, and with each row representing a separate repetition of the experiment.</p> <p>When decoding with the FPGA decoder we also store the decoder register outcomes in decoder_shot_results. In particular, the first column indicates the logical correction computed by the FPGA decoder – values 0 and 2 correspond to no logical error detected and 1 corresponds to logical error being detected by the decoder.</p> <p>The HDF5 file with data for the fast-feedback experiment ("fast_feedback_raw_data.h5") includes the reference_data group storing reference data. It contains the "delays" group (used to measure T1 in FigS4(d)), "measurement_fidelity" group (used to calculate measurement confusion matrix in Fig S4e, and "double_measurement" group (used to compute post-measurement state distribution in Fig S4f).</p> <p>Also included are files containing the logical error probabilities (LEPs), and CSV files containing timings, both containing data used to plot figures.</p>
Data for the article "Mechanically induced correlated errors on superconducting qubits with relaxation times exceeding 0.4 milliseconds"
<p>Here you will find all the raw data and data processing scripts for the plots presented in the article "Mechanically induced correlated errors on superconducting qubits with relaxation times exceeding 0.4 milliseconds."</p>
One qubit as a universal approximant
<p>In this repository one can find all the code used to generate the figures in the paper <em>One qubit as a Universal Approximant</em>, <a href="https://arxiv.org/abs/2102.04032">arXiv:2102.04032</a> including the original data sets.</p>
Supporting data for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences"
<p>Datasets, analysis scripts and simulations for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences".</p> <p>For more information and instructions, see READ ME.txt.</p> <p>For questions, contact Jelmer Boter (j.m.boter@tudelft.nl) or Lieven Vandersypen (l.m.k.vandersypen@tudelft.nl).</p>
Dataset for Superconducting 'twin qubit' , PRB 102, 115422 (2020)
<p>Dataset for manuscript "Superconducting 'twin qubit'", Phys. Rev. B 102, 115422 (2020). Dataset includes experimental data text files of Fig. 2 and Fig. 7 in the manuscript. The dataset describes energy spectrum of superconducting 'twin qubit' (Fig. 2) and its Rabi oscillations (Fig. 7). The paper studies the superconducting double loop system, 'twin qubit'.</p>
Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
<p>Dataset containing ASCII files for Figures 2-8 of the paper </p><p>Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit</p><p>Inorg. Chem. 2021, 60, 11273−11286</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>
Supporting Data for "A hole spin qubit in a fin field-effect transistor above 4 kelvin"
<p>Supporting data for</p> <p><strong>"A hole spin qubit in a fin field-effect transistor above 4 kelvin"</strong>,<br> Leon C. Camenzind, Simon Geyer, Andreas Fuhrer, Richard J. Warburton, Dominik M. Zumbühl and Andreas V. Kuhlmann</p> <p>Nature Electronics (2022), <a href="https://doi.org/10.1038/s41928-022-00722-0">DOI:10.1038/s41928-022-00722-0</a></p>
Correlation spectroscopy with multi-qubit-enhanced phase estimation: data
<p>This directory contains the data shown in Figures 2-8 of the paper "Correlation spectroscopy with multi-qubit-enhanced phase estimation" (https://doi.org/10.48550/arXiv.2203.12656). Each data set is stored as matlab .mat file containing variables described in the accompagnying .text document</p>
Data for "Qubit vitrification and entanglement criticality on a quantum processor"
<p>Data includes the filtered measurement results from the IBM Q devices, as well as the code to generate the figures. See the README file for more information regarding the data.</p>
Data and codes for "Decay-protected superconducting qubit with fast control enabled by integrated on-chip filters"
<p>Data and codes for "Decay-protected superconducting qubit with fast control enabled by integrated on-chip filters".</p>
Supporting data for "Benchmarking Gate Fidelities in a Si/SiGe Two-Qubit Device" (arXiv:1811.04002)
<p>Supporting data and analysis scripts for FIG. 2 - FIG. 6 of "Benchmarking Gate Fidelities in a Si/SiGe Two-Qubit Device" (arXiv:1811.04002, Physical Review X in press)</p> <p>Data for FIG. 2 and FIG. 3 and analysis script are in the file 'single_two_qubit_RB.zip'.</p> <p>Data for FIG. 4 and analysis script are in the file 'CRB.zip'.</p> <p>Data for FIG. 5 and FIG. 6 and analysis script are in the file 'Append.zip'.</p> <p>To run the scripts, QCoDeS needs to be installed. Please refer to:</p> <p>http://qcodes.github.io/Qcodes/</p> <p>for instructions about installation and Dataset. If there's a problem, try to use an earlier version 0.1.7.</p> <p>For more information, contact the author: Xiao Xue, x.xue-1@tudelft.nl </p>
[Artifact] Qubit Allocation as a Combination of Subgraph Isomorphism and Token Swapping
<p>Object-Oriented Programming, Systems, Languages & Applications (OOPSLA'19) artifact for the paper: "Qubit Allocation as a Combination of Subgraph Isomorphism and Token Swapping".</p>
Data used in "Qubit Readout Error Mitigation with Bit-flip Averaging"
<p>This data supports "Qubit Readout Error Mitigation with Bit-flip Averaging" by Alistair Smith, Kiran Khosla, Chris Self, and M. S. Kim (arXiv:2106.05800). </p> <p>Included are the measurement results obtained from 1-8 qubit calibration measurements on the <em>ibmq_manhattan</em> device (on 1st Dec 2020), which were used to define the "exact" device response matrices used in the paper. Also included are the results of the numerical simulations used to generate the data for figures 3, 4, and 5.</p>
Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction
<p>This dataset comprises all data shown in the figures of the submitted article "Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction". Additional raw data are available from the corresponding author on reasonable request.</p>
Data for Unimon Qubit
<p>This dataset contains the experimental data used in the figures of the paper "Unimon qubit" by Hyyppä, E., Kundu, S., ..., and Möttönen M. published in <em>Nature Communications</em> <strong>13</strong>, 6895 (2022): https://doi.org/10.1038/s41467-022-34614-w. The data is stored mostly as csv-files, the contents of which are explained in the readme-files. Each subfolder also contains a Jupyter Notebook for plotting the data. </p>
Source data for the publication "SiGe quantum wells with oscillating Ge concentrations for quantum dot qubits"
<p>This repository contains data reported in the figures of the publication "SiGe quantum wells with oscillating Ge concentrations for quantum dot qubits."</p>
Dataset for "Calibrated transmission and reflection from a multi-qubit microwave package"
<p>Dataset needed to reproduce figures 3 and 4 of "Calibrated transmission and reflection from a multi-qubit microwave package". Included are </p> <ol> <li>raw (calibrated) S-parameter data </li> <li>a Python notebook to apply time domain gating and then display the S-parameters of the multi-qubit package (Fig. 3). Requires Scikit-rf (<a href="https://scikit-rf.org/">https://scikit-rf.org/</a>) to be installed.</li> <li>a Python notebook to display the simulated impact of signal distortions on quantum gate fidelities of a qubit within the package (Fig. 4). </li> </ol>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.