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Dataset results
123 results for “qubits”
Quantum Volume circuits optimized with CPLEX on a line of qubits
<p>We provide BIP optimized circuits for QV64, 128 and 256 for qubits in a line topology. An Notebook is provided for loading the circuits.</p> <p>For more details see https://arxiv.org/abs/2106.06446</p>
dataset for "Long-lived Bell states in an array of optical clock qubits"
<p>Dataset for main figures in "Long-lived Bell states in an array of optical clock qubits".</p>
Microwave-activated gates between a fluxonium and a transmon qubit
<p>Numerical data and figures generators for the paper A. Ciani, B. Varbanov, N. Jolly, C. Andersen, B. Terhal "Microwave-activated gates between a fluxonium and a transmon qubit" </p>
Data for "Suppressing quantum errors by scaling a surface code logical qubit"
<p>Includes the circuits that were executed, the samples that were collected, the corrections predicted by several decoders, as well as other intermediate files. See the README.txt file at the root of the ZIP archive for a more detailed overview.</p>
Supporting data for 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'
<p>Data supporting for paper 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'.</p> <p>All the data are stored in the HDF5 format that can be conveniently loaded by the xarray Python package.</p>
Dataset: Enhancing Spin Coherence in Optically Addressable Molecular Qubits through Host-Matrix Control
<p>Dataset: Enhancing Spin Coherence in Optically Addressable Molecular Qubits through Host-Matrix Control</p>
Code and data for N Le et. al "Scalable and robust quantum computing on qubit arrays with fixed coupling"
<p>Simulation code and data used in N Le et. al "Scalable and robust quantum computing on qubit arrays with fixed coupling."</p>
Datasets for "A superconducting dual-rail cavity qubit with erasure-detected logical measurements"
<p>Title of Dataset: Demonstrating a superconducting dual-rail cavity qubit with erasure-detected logical measurements<br>---</p> <p>Included are data shown in Figures 1-4 of the main text and Extended Data Figures 2 and 3 in the Methods.<br>Data was collected by running quantum programs on hardware deployed at Quantum Circuits, Inc. The results of these experiments are decoded and assigned an appropriate label (discussed below and in the manuscript). We provide various levels of processing: number of counts, fraction of counts, and the logical assignment. Full labeled shot-by-shot outcomes can be provided upon request.</p> <p>## Description of the data and file structure</p> <p>Description of column labels<br>- xs: sweep variable (if applicable)<br>- Counts:<br> - 00_counts, 01_counts, 10_counts, 11_counts: Number of runs with outcome labeled "00", "01", "10", "11", respectively<br> - A_counts: Number of runs with outcome labeled as ambiguous outcome<br> - FSP_counts: Number of runs with outcome labeled as a failed state preparation<br> - all_shots: Total number of runs<br> - total_counts: Number of runs with a successful state preparation (e.g. all_shots - B_counts)<br>- Outcome fraction<br> - 00, 01, 10, 11, A, FSP: Fraction of counts normalized by total_counts<br> - 00_err, 01_err, 10_err, 11_err, A_err, FSP_err: Standard error for all above<br>- Logical outcomes<br> - 0L, 1L, erasures, Z_L: Computed logical dual-rail outcome for "0_L", "1_L", erasures, and expectation value of logical sigma_z <Z>, respectively<br> - 0L_err, 1L_err, erasures_err, Z_L_err: Standard error for all above</p> <p>State assignment datasets:<br>- Fig2_state_assignment_1msmts.csv: Data for Figure 2<br>- ExtendedDataFig2_state_assignment_2msmts.csv: Data for Extended Data Figure 2</p> <p>Bit-flip datasets: <br>- Each row corresponds to a different delay specified in the xs column in units of microseconds<br>- Counts and Outcome fraction are plotted in Figure 3A<br>- Logical outcomes are plotted in Figure 3B<br>- Detail on datasets:<br> - Fig3_bit_flip_0L_1ms.csv: Data for Figure 3, left panel<br> - Fig3_bit_flip_0L_20us.csv: Data for Figure 3, left panel inset<br> - Fig3_bit_flip_1L_1ms.csv: Data for Figure 3, right panel<br> - Fig3_bit_flip_1L_20us.csv: Data for Figure 3, right panel inset</p> <p>Phase error datasets: <br>- Each row corresponds to a different delay specified in the xs column in units of microseconds<br>- Counts and Outcome fraction are plotted in the top panels for Figure 4A and 4B<br>- Logical outcomes are plotted in the bottom panel for Figure 4A and 4B<br>- Short time data are shown in the inset of bottom panel for Figure 4A and 4B. <br>- We provide additional detail for the short time data in Extended Data Figure 3 for short-time Ramsey<br>- Detail on ramsey_short_time.csv: Data includes an additional dimension where the Ramsey phase angle is swept<br> - values in radians are enumerated in ExtendedDataFig3_ramsey_short_time_phases.csv<br>- Detail on datasets:<br> - Fig4_ramsey_long_time.csv: Data for Figure 4A<br> - ExtendedDataFig3_ramsey_short_time.csv, ExtendedDataFig3_ramsey_short_time_phases.csv: Data for Figure 4A, inset (bottom panel); Data for Extended Data Figure 3<br> - Fig4_echo_long_time.csv: Data for Figure 4B<br> - Fig4_echo_short_time.csv: Data for Figure 4B, inset (bottom panel)</p>
Dataset underlying the manuscript: Universal control of four singlet-triplet qubits
<p>Original dataset for the paper "Universal control of four singlet-triplet qubits" by Xin Zhang et al (https://arxiv.org/abs/2312.16101). </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>
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>
A mechanical qubit
<p>This is a repository of all files related to the publication "A mechanical qubit" by Yu Yang, Igor Kladarić, Maxwell Drimmer, Uwe von Lüpke, Daan Lenterman, Joost Bus, Stefano Marti, Matteo Fadel and Yiwen Chu.</p> <p>The repository contains a folder <em>data_analysis</em> which contains all python scripts used for data analysis and plotting the figures presented in the publication.<br>The final data analysis is executed and figures ploted in <em>Mecha_qubit_plotting.ipynb</em></p> <p>The repository also contains a file <em>phonon_qubit.ipynb</em> which contains the code for all simulations presented in the publication.<br>phonon_qubit.ipynb requires dependencies of a repository located on a ETH version control system. Read access can be obtained as follows:</p> <p> Link to repository: https://gitlab.ethz.ch/yangyuethz/hyqu_simulato</p> <p> The repository can be accessed in the following manner:</p> <p> "Use a project access token to authenticate:</p> <p> -With the GitLab API.</p> <p> -With Git, when using HTTP Basic Authentication, use:</p> <p> Any non-blank value as a username.</p> <p> The project access token as the password.</p> <p> The project access token for this repository is:</p> <p> 67UpFZHSicoBsyRiHQRY </p>
All-optical superconducting qubit readout
<p>Here you can find data and its analysis used in the creation of the publication "All-optical superconducting qubit readout". https://arxiv.org/abs/2310.16817</p>
Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency
<p>Datasets for the publication "Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency", PRX Quantum (2021)</p>
Tunable Capacitor For Superconducting Qubits Using an InAs/InGaAs Heterostructure
<p>COMSOL, HFSS simulation files, along with Python analysis / plotting code related to the work titled "Tunable Capacitor for Superconducting Qubits Using an InAs/InGaAs Heterostructure."</p>
Supporting data for "Long distance multiplexed quantum teleportation from a telecom photon to a solid-state qubit"
<p>This repository contains the data supporting the article "Long distance multiplexed quantum teleportation from a telecom photon to a solid-state qubit" by Dario Lago-Rivera, Jelena V. Rakonjac, Samuele Grandi and H. de Riedmatten.</p> <p>The individual .zip files contain the raw detection files for the main results of the article, i.e. the short distance teleportation, the teleportation results as a function of the repetition rate of the experiment and the teleportation experiment across 1 km of optical fibre.</p>
Real-time frequency estimation of a qubit without single-shot-readout
<p>Dataset for figures 3a, 3b and 4b in our manuscript.</p>
Modular nanomagnet design for spin qubits confined in a linear chain
<p>supporting data</p>
Tunable directional photon scattering from a pair of superconducting qubits
<p>This dataset comprises all data shown in the figures of the submitted article "Tunable directional photon scattering from a pair of superconducting qubits" at arXiv:2205.03293. Additional raw data are available from the corresponding author on reasonable request.</p>
Data from: Quantum computation of frequency-domain molecular response properties using a three-qubit iToffoli gate
<p>The quantum computation of molecular response properties on near-term quantum hardware is a topic of substantial interest. Computing these properties directly in the frequency domain is desirable, but the circuits require large depth if the typical hardware gate set consisting of single- and two-qubit gates is used. Here, we report the application of a high-fidelity multipartite gate, the iToffoli gate, to the computation of frequency-domain response properties of diatomic molecules. The iToffoli gate enables a ~50% reduction in circuit depth and ~40% reduction in circuit execution time compared to the traditional gate set. We show that the molecular properties obtained with the iToffoli gate exhibit comparable or better agreement with theory than those obtained with the native CZ gates. Our work is among the first demonstrations of the practical usage of a native multi-qubit gate in quantum simulation, with diverse potential applications to near-term quantum computation.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.