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.
11
datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “Quantum transport”
Exceptional electronic transport and quantum oscillations in thin bismuth crystals grown inside van der Waals materials
<p>Confining materials to two-dimensional forms changes the behavior of electrons and enables new devices. However, most materials are challenging to produce as uniform thin crystals. Here, we present a synthesis approach where thin crystals are grown in a nanoscale mold defined by atomically-flat van der Waals (vdW) materials. By heating and compressing bismuth in a vdW-mold made of hexagonal boron nitride (hBN), we grow ultraflat bismuth crystals less than 10 nanometers thick. Due to quantum confinement, the bismuth bulk states are gapped, isolating intrinsic Rashba surface states for transport studies. The vdW-molded bismuth shows exceptional electronic transport, enabling the observation of Shubnikov–de Haas quantum oscillations originating from the (111) surface state Landau levels. By measuring the gate-dependent magnetoresistance, we observe multi-carrier quantum oscillations and Landau level splitting, with features originating from both the top and bottom surfaces. Our vdW-mold growth technique establishes a platform for electronic studies and control of bismuth’s Rashba surface states and topological boundary modes. Beyond bismuth, the vdW-molding approach provides a low-cost way to synthesize ultrathin crystals and directly integrate them into a vdW heterostructure. </p>
Data underpinning "Localisation and Sub-Diffusive Transport in Quantum Spin Chains With Dilute Disorder"
<p>It is widely believed that many-body localisation in one dimension is fragile and can be easily destroyed by thermal inclusions, however there are still many open questions regarding the stability of the localised phase and under what conditions it breaks down. Here I construct models with dilute disorder, which interpolate between translationally invariant and fully random models, in order to study the breakdown of localisation. This opens up the possibility to controllably increase the density of thermal regions and examine the breakdown of localisation as this density is increased. At strong disorder, the numerical results are consistent with commonly-used diagnostics for localisation even when the concentration of thermalising regions is high. At moderate disorder, I present evidence for slow dynamics and sub-diffusive transport across a large region of the phase diagram, suggestive of a `bad metal' phase. This suggests that dilute disorder may be a useful effective model for studying Griffiths effects in many-body localisation, and perhaps also in a wider class of disordered systems.</p>
Data and Codes for "Non-local transport measurements in hybrid quantum Hall - superconducting devices"
<p>Datasets and processing code for reproduction of "Non-local transport measurements in hybrid quantum Hall - superconducting devices".</p>
Data repository for "Phonon-mediated room-temperature quantum Hall transport in graphene"
<p>This is the data presented in the manuscript "Phonon-mediated room-temperature quantum Hall transport in graphene", Nat Commun 14, 318 (2023). https://doi.org/10.1038/s41467-023-35986-3</p>
Simulation of free fermion transport on 2D lattice using constant-depth quantum circuits
<p>In these simulations, we consider a fermion initialized on a reference lattice site, and observe how it evolves freely through a two-dimensional (2D) lattice. The lattice comprises 16 sites with closed boundary conditions, and lattice site '0' is considered our reference site, where the fermion is initialized. We examine transport of a fermion on this 16-site lattice both with and without disorder. To do this, we track the occupation number at varying distances $M$ from the reference site as the fermion evolves freely through time. When there is no disorder in the system, we expect the fermion to behave ballistically and oscillate back and forth within the lattice. The file '4x4_2DFF_mu=0.0_nsteps=900_t=90.0_backend=ibm_washington_shot=50000_nis_ps_DD_M3.txt' has the results from simulating a free fermion on a 2D lattice with no disorder on the ibmq_washington QPU, while '4x4_2DFF_mu=0.0_nsteps=900_t=90.0_backend=qasm_sim_shot=100000_nis.txt' has the results from the noise-free quantum simulator. </p> <p>When there is large random disorder in the system, we expect the fermion to exhibit Anderson localization. '4x4_2DFF_mu=10.0_nsteps=900_t=90.0_backend=ibm_washington_shot=50000_nis_ps_DD_M3_Anderson_loc.txt' shows results from simulating a free fermion on a 2D lattice with large random disorder on the ibmq\_washington QPU, while '4x4_2DFF_mu=10.0_nsteps=900_t=90.0_backend=qasm_sim_shot=100000_nis.txt' shows results from the noise-free quantum simulator. </p> <p>Simulations on the the noise-free quantum simulator were performed with 100,000 shots. Simulations on the QPU were performed with 50,000 shots and any shot that did not conserve particle number was discarded. Two straightforward error mitigation techniques were also used to reduce noise in the results from the QPU. The first was a scalable readout error mitigation method implemented with the mthree package, which reduces errors in quantum measurement via calibration. The second was dynamical decoupling, a method that can suppress qubit decoherence via the application of a set of pulses (which together amount to application of the identity operator) to idling qubits which cancels the system-environment interaction.</p>
Source Data for figures in "Emergence of steady quantum transport in a superconducting processor"
<p>Experimental and numerical data for figures in "Emergence of steady quantum transport in a superconducting processor".</p>
Data for: "Exciton transport in molecular organic semiconductors boosted by transient quantum delocalization"
<p>Data: Figure 2 (all panels), Figure 3 (all panels), Figure 4 (all panels), Figure 5 (all panels)</p>
All raw data for the transport part of 'In-plane selective area InSb-Al nanowire quantum networks'
<p>This folder contains all the raw data gathered on the devices used in the transport part of the paper "In-plane selective area InSb–Al nanowire quantum networks" https://doi.org/10.1038/s42005-020-0324-4.</p>
Direct visualization of electronic transport in a quantum anomalous Hall insulator
<p>Source data for "Direct visualization of electronic transport in a quantum anomalous Hall insulator"</p>
Data for 'Exciton transport in a germanium quantum dot ladder' by Tzu-Kan Hsiao et al.
<p>Data for 'Exciton transport in a germanium quantum dot ladder' by Tzu-Kan Hsiao et al.</p>
Replication Data for: Characterising transport in a quantum gas by measuring Drude weights
Open the record for dataset details and reuse information.
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.