Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
29
datasets available to search
ShareScore release 0.9.0
Dataset results
29 results for “Spin qubits”
Efficient quantum gates for individual nuclear spin qubits by indirect control
<p>Hybrid quantum registers, such as electron-nuclear spin systems, have emerged as promising hard-<br> ware for implementing quantum information and computing protocols in scalable systems. Neverthe-<br> less, the coherent control of such systems still faces challenges. Particularly, the lower gyromagnetic<br> ratios of the nuclear spins cause them to respond slowly to control fields, resulting in gate times<br> that are generally longer than the coherence time of the electron. Here, we demonstrate a scheme<br> for circumventing this problem by indirect control: We apply a small number of short pulses only<br> to the electron and let the full system undergo free evolution under the hyperfine coupling between<br> the pulses. Using this scheme, we realize robust quantum gates in an electron-nuclear spin system,<br> including a Hadamard gate on the nuclear spin and a controlled-NOT gate with the nuclear spin<br> as the target qubit. The durations of these gates are shorter than the electron coherence time, and<br> thus additional operations to extend the system coherence time are not needed. Our demonstration<br> serves as a proof of concept for achieving efficient coherent control of electron-nuclear spin systems,<br> such as NV centers in diamond. Our scheme is still applicable when the nuclear spins are only<br> weakly coupled to the electron.</p>
Nonlinear response and crosstalk of strongly driven silicon spin qubits
<p>Supporting data and scripts to generate the raw plots.</p>
Data accompanying the publication "Quantum error correction with silicon spin qubits"
<p>Data accompanying the publication "Quantum error correction with silicon spin qubits"</p>
Robust and fast post-processing of single-shot spin qubit detection events with a neural network
<p>Dataset to the paper 'Robust and fast post-processing of single-shot spin qubit detection events with a neural network'</p>
Data for "Entangling gates on degenerate spin qubits dressed by a global field"
Open the record for dataset details and reuse information.
Near Isotropic D4d Spin Qubits as Nodes of a Gd(III)-Based Metal–Organic Framework
<p>Data supporting the original figures 2,3,4 of the related publication.</p>
Spectroscopic Analysis of Vibronic Relaxation Pathways in Molecular Spin Qubit [Ho(W5O18)2]9–: Sparse Spectra Are Key
<p>Vibrations play a prominent role in magnetic relaxation processes of molecular spin qubits as they couple to spin states, leading to the loss of quantum information. Direct experimental determination of vibronic coupling is crucial to understand and control the spin dynamics of these nano-objects, which represent the limit of miniaturization for quantum devices. Herein, we measure the magneto-infrared properties of the molecular spin qubit system Na<sub>9</sub>[Ho(W<sub>5</sub>O<sub>18</sub>)<sub>2</sub>]·35H<sub>2</sub>O. Our results place significant constraints on the pattern of crystal field levels and the vibrational excitations allowing us to unravel vibronic decoherence pathways in this system. We observe field-induced spectral changes near 63 and 370 cm<sup>–1</sup> that are modeled in terms of odd-symmetry vibrations mixed with <em>f</em>-manifold crystal field excitations. The overall extent of vibronic coupling in Na<sub>9</sub>[Ho(W<sub>5</sub>O<sub>18</sub>)<sub>2</sub>]·35H<sub>2</sub>O is limited by a modest coupling constant (on the order of 0.25) and a transparency window in the phonon density of states that acts to keep the intramolecular vibrations and <em>M</em><sub>J</sub> levels apart. These findings advance the understanding of vibronic coupling in a molecular magnet with atomic clock transitions and suggest strategies for designing molecular spin qubits with improved coherence lifetimes.</p>
Supporting data for "Repetitive Quantum Nondemolition Measurement of a Silicon Spin Qubit Using..."
<p>Supporting data for "Repetitive Quantum Nondemolition Measurement of a Silicon Spin Qubit Using Different Decodings"</p> <p>Data for Fig.2-3 are in the file 'QND_data'.</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>
A generalizable TCAD framework for silicon FinFET spin qubit devices with electrical control
<p>supporting data for figures in manuscript "A generalizable TCAD framework for silicon FinFET spin qubit devices with electrical control".</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.