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Dataset results
123 results for “qubits”
Electrical two-qubit gates within a pair of clock-qubit magnetic molecules
<p>Enhanced coherence in HoW<sub>10</sub> molecular spin qubits has been demonstrated by use of clock-transitions (CTs). More recently it was shown that, while operating at the CTs, it was possible to use an electrical field to selectively address HoW<sub>10</sub> molecules pointing in a given direction, within a crystal that contains two kinds of identical but inversion-related molecules. Herein we theoretically explore the possibility of employing the electric field to effect entangling two-qubit quantum gates within a 2-qubit Hilbert space resulting from dipolar coupling of two CT-protected HoW<sub>10</sub> molecules in a diluted crystal. We estimate the thermal evolution of <em>T</em><sub>1</sub>, <em>T</em><sub>2</sub>, find that CTs are also optimal operating points from the point of view of phonons, and lay out how to combine a sequence of microwave and electric field pulses to achieve coherent control within a switchable two-qubit operating space between symmetric and asymmetric qubit states that are protected both from spin-bath and from phonon-bath decoherence. This two-qubit gate approach presents an elegant correspondence between physical stimuli and logical operations, meanwhile avoiding any spontaneous unitary evolution of the qubit states. Finally, we found a highly protected 1-qubit subspace resulting from the interaction between two clock molecules.</p>
Dual structure of a vanadyl-based molecular qubit containing a bis(β-diketonato) ligand. Open dataset
<p>Data supporting the original figures 2, 4, 6, and 7 of the related publication</p>
Data from: Quantum computation of frequency-domain molecular response properties using a three-qubit iToffoli gate
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Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits
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Hartree-Fock on a superconducting qubit quantum computer
<p>The simulation of fermionic systems is among the most anticipated applications of quantum computing. Here, we performed several quantum simulations of chemistry with up to one dozen qubits, including modeling the isomerization mechanism of diazene. We also demonstrated error-mitigation strategies based on N-representability which dramatically improve the effective fidelity of our experiments. Our parameterized ansatz circuits realized the Givens rotation approach to non-interacting fermion evolution, which we variationally optimized to prepare the Hartree-Fock wavefunction. This ubiquitous algorithmic primitive is classically tractable to simulate, yet still generates highly entangled states over the computational basis, which allowed us to assess the performance of our hardware and establish a foundation for scaling up correlated quantum chemistry simulations.</p>
A heterometallic [LnLn'Ln] lanthanide complex as a qubit with embedded quantum error correction. Open data set
<p>Includes data relevant for publication with DOI <a href="https://doi.org/10.1021/acsnano.0c03167">10.1039/d0sc03107k</a> plus a table with information on how the data were obtained and processed.</p>
Large flux-mediated coupling in hybrid electromechanical system with a transmon qubit
<p>The dataset contains the script and measured data to reproduce the figures shown in the publication titled "Large flux-mediated coupling in hybrid electromechanical system with a transmon qubit" written by Tanmoy Bera, Sourav Majumder, Sudhir Kumar Sahu and Vibhor Singh</p>
Qubit Spin Ice
<p>Experimental data for Qubit Spin Ice.</p>
Magnon-mediated qubit coupling determined via dissipation measurements
<p>Accompanying data for the main text and supporting information of <i><strong>Magnon-mediated qubit coupling determined via dissipation measurements</strong></i></p><p>Paper abstract is as follows:</p><p>Controlled interaction between localized and delocalized solid-state spin systems offers a compelling platform for on-chip quantum information processing with quantum spintronics. Hybrid quantum systems (HQSs) of localized nitrogen-vacancy (NV) centers in diamond and delocalized magnon modes in ferrimagnets–systems with naturally commensurate energies–have recently attracted significant attention, especially for interconnecting isolated spin qubits at length-scales far beyond those set by the dipolar coupling. However, despite extensive theoretical efforts, there is a lack of experimental characterization of the magnon-mediated interaction between NV centers, which is necessary to develop such hybrid quantum architectures. Here, we experimentally determine the magnon-mediated NV-NV coupling from the magnon-induced self-energy of NV centers. Our results are quantitatively consistent with a model in which the NV center is coupled to magnons by dipolar interactions. This work provides a versatile tool to characterize HQSs in the absence of strong coupling, informing future efforts to engineer entangled solid-state systems.</p>
Data for "Coherent control of a few-channel hole type gatemon qubit"
<p>The files contain the raw and processed data used for the publication "Coherent control of a few-channel hole type gatemon qubit" in ASCII format. See readme.txt for details.</p><p> </p>
Data and GDS file for "Methods to achieve near-millisecond energy relaxation and dephasing times for a superconducting transmon qubit"
<p>Data and GDS files for "Methods to achieve near-millisecond energy relaxation and dephasing times for a superconducting transmon qubit"</p>
Effects of surface treatments on flux tunable transmon qubits
<p>Datasets for paper Effects of surface treatments on flux tunable transmon qubits. The datasets provide the data for Figures 2-5 in csv format and a description on how the figures can be reproduced.</p>
Data & code supplementary to the paper "Matchgate benchmarking: Scalable benchmarking of a continuous family of many-qubit gates"
<p>Code that executes and interprets the experiment displayed in fig 1 of the manuscript, as well as pickle files containing the actual data collected during the experimental run.</p>
Data and code for the article "Superconducting qubit readout via low-backaction electro-optic transduction"
<p>Data set for the manuscript "Superconducting qubit readout via low-backaction electro-optic transduction", which will appear in Nature. </p>
Data for "Deterministic measurement of a Rydberg superatom qubit via cavity-enhanced single-photon emission"
<p>This dataset is for the research article "Deterministic measurement of a Rydberg superatom qubit via cavity-enhanced single-photon emission".</p>
Data and analysis scripts for the paper 'Phase flip code with semiconductor spin qubits'
<p>Data and analysis scripts for the paper:</p> <p>Phase flip code with semiconductor spin qubits.</p> <p>Authors: F. van Riggelen, W. I. L. Lawrie, M. Russ, N. W. Hendrickx, A. Sammak,<br> M. Rispler, B. M. Terhal, G. Scappucci, and M. Veldhorst</p> <p>data for the figures for the version of this paper to be published in npj Quantum Information</p> <p>preprint on arXiv: https://arxiv.org/abs/2202.11530, for data supporting the preprint see: https://doi.org/10.5281/zenodo.6413948</p>
The SpinBus architecture: Scaling spin qubits with electron shuttling
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Dataset: Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies
<p>Dataset for the following paper: <a href="https://arxiv.org/abs/2405.04401">"Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies", Julien Baglio, arXiv:2405.04401</a></p> <p>It contains:</p> <ul> <li>one folder named "data_for_all_plots" containing the raw data for the s, t, and y distributions for all the figures of the paper as well as a Jupyter notebook to generate the figures.</li> <li>one file named "variance_calculations_qGAN.txt" containing the data to calculate the errors for the KL divergences.</li> </ul>
Quantum circuits used in the "Multi-qubit Lattice Surgery Scheduling" paper
<div> <div>This contains the circuit sets used for the experiments in the paper "Multi-qubit lattice surgery scheduling" (DOI https://doi.org/10.4230/LIPIcs.TQC.2024.1). For the description of the dataset, please see the readme file included in the compressed file.</div> </div>
Supporting data for "A programmable two-qubit quantum processor in silicon"
<p>Raw data, analysis scripts, and simulation files used to produce the figures for "A programmable two-qubit quantum processor in silicon", ArXiv:708.04214 (preprint) and <a href="http://dx.doi.org/">http://dx.doi.org/</a>10.1038/nature25766 (publication).</p> <p>This dataset consists of four zipped folders that contain the following: (1) analysis_rawdata_final.zip - raw data and Matlab files used to plot and analyse the data. (2) DM_solver-master.zip - Software used to calculate the time evolution of a density matrix given a time dependent Hamiltonian. A manual is included. (3) Simulations_double_dot-paper.zip - simulation scripts and results for the time evolution of the two qubit system during the quantum algorithms. (4) The raw single-shot data for the state tomography experiments. </p> <p> </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.