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23 results for “Quantum criticality”
Raw data to "Scaling at quantum phase transitions above the upper critical dimension"
<p>This directory contains the data used to generate the numerical results in the work "Scaling at quantum phase transitions above the upper critical dimension[1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p> <p>[1]: A. Langheld et al., Scaling at quantum phase transitions above the upper critical dimension, <a href="https://scipost.org/10.21468/SciPostPhys.13.4.088">SciPost Phys. <strong>13</strong> 088</a>, 2022.</p>
A quantum magnetic analogue to the critical point of water
<p>Specific heat data for SrCu2(BO3)2 with pressure and magnetic fields and iPEPS results for specific heat, correlation length and dimer correlations</p>
Raw data to "Quantum-critical and dynamical properties of the XXZ bilayer with long-range interactions"
<div> <p>This directory contains the data used to generate the numerical results in the work "Quantum-critical and dynamical properties of the XXZ bilayer with long-range interactions [1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README.md file.</p> <p>[1]: P. Adelhardt, A. Duft and K. P. Schmidt, Quantum-critical and dynamical properties of the XXZ bilayer with long-range interactions, <a href="https://arxiv.org/abs/2408.13145">arXiv:2408.13145</a></p> <p> </p> </div>
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>
Quantum critical dynamics in a 5000-qubit programmable spin glass: data repository
<p>Supporting data for "Quantum critical dynamics in a 5000-qubit programmable spin glass", Nature, 2023.</p>
Raw data to "Continuously varying critical exponents in long-range quantum spin ladders"
<p>This directory contains the data used to generate the numerical results in the work "Continuously varying critical exponents in long-range quantum spin ladders [1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README.md file.</p> <p>[1]: P. Adelhardt and K. P. Schmidt, Continuously varying critical exponents in long-range quantum spin ladders, <a href="https://www.scipost.org/SciPostPhys.15.3.087">SciPost Phys. 15, 087 (2023)</a></p>
Data for "Second sound attenuation near quantum criticality"
<p>This dataset is for research article "Second sound attenuation near quantum criticality".</p>
Datasets to produce figures of the manuscript "Quantum Critical Points and the Sign Problem"
<p>Datasets to produce figures of the manuscript "Quantum Critical Points and the Sign Problem"</p> <p>Contents:</p> <p>All figures are divided by folders, Main_text (Figs. 1 to 4) and Supplemental Material (Figs. S1 to S11). </p> <p>In each folder the data files (.dat) and scripts (.py) that generate the figures are included. Data files have easily readable names, with relevant parameters explicitly given.</p> <p>Using Python 3+ with an updated Matplotlib can directly reproduce the figures in the manuscript. We further include the Figures (.pdf or .png) in the corresponding folders for convenience.</p> <p>Data can be reproduced using the QUEST: QUantum Electron Simulation Toolbox, freely available at https://www.cs.ucdavis.edu/~bai/QUEST_public/</p> <p>The geometry files (.geom) and example input files (.in) for the two types of lattices used are given in this repository.</p>
Supplementary data to "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations"
<p>This dataset contains the data used to generate the results in the work "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations" [1].</p> <p>processed_data.zip contains the data used for the figures shown in [1], while raw_data.zip contains the original simulation results without further processing.</p> <p>To get an overview of the organization of the directories and a description of the data we recommend the README files in the top- and subdirectories.</p> <p>[1] C. Krämer et al., Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations, <a href="https://doi.org/10.48550/arXiv.2403.05223">10.48550/arXiv.2403.05223</a>, 2024</p>
Data and code for "Experimental Observation of Topological Quantum Criticality" (matfiles, matlab script, and figures)
<p>Matlab code "zenodo_topological_quantum_criticality.m" generates Figure2 and 3 in the main script, and the Figure 2 and 3 in the Supplemental material. The generated figures are saved under folder 'figure', and the datasets used for the generation are saved under folder 'matfiles'. </p> <p>The raw measurement data (approx. 350 GB) will be shared only upon request. Please contact the Integrated Quantum Optics group (head: C. Silberhorn), Paderborn University.</p> <p>This is additional information of the publication arXiv:2301.05428 "Experimental Observation of Topological Quantum Criticality"</p>
Data for the publication "Singular charge fluctuations at a magnetic quantum critical point"
<p>Data sets of the figures in the publication "Singular charge fluctuations at a magnetic quantum critical point"</p> <p>Preprint: arXiv:1808.02296</p>
Finite Entanglement Scaling of Disorder Parameters at Quantum Criticality
<p>Code for iPEPS simulation of the 2d quantum Ising and Potts models, as well as the 3d classical Ising model. And data for figures in the main text and the appendix.</p>
Data for "Quantized critical supercurrent in SrTiO3-based quantum point contacts"
<p>Spreadsheets containing raw data, axis and trace labels necessary to reproduce all figures in the submitted manuscript "Quantized critical supercurrent in SrTiO<sub>3</sub>-based quantum point contacts".</p> <p> </p>
Signature of quantum criticality in cuprates by charge density fluctuations
<p>[This repository contains the raw data for the manuscript "<strong>Signature of quantum criticality in cuprates by charge density fluctuations</strong>" (arXiv:2208.13918)]</p> <p>The universality of the strange metal phase in many quantum materials is often attributed to the presence of a quantum critical point (QCP), a zero-temperature phase transition ruled by quantum fluctuations. In cuprates, where superconductivity hinders direct QCP observation, indirect evidence comes from the identification of fluctuations compatible with the strange metal phase. Here we show that the recently discovered charge density fluctuations (CDF) possess the right properties to be associated to a quantum phase transition. Using resonant x-ray scattering, we studied the CDF in two families of cuprate superconductors across a wide doping range (up to <em>p</em>=0.22). At <em>p</em>*≈0.19, the putative QCP, the CDF intensity peaks, and the characteristic energy Δ is minimum, marking a wedge-shaped region in the phase diagram indicative of a quantum critical behavior, albeit with anomalies. These findings strengthen the role of charge order in explaining strange metal phenomenology and provide insights into high-temperature superconductivity.</p>
Preempting fermion sign problem: Unveiling quantum criticality through nonequilibrium dynamics in imaginary time
Open the record for dataset details and reuse information.
Quantum critical phase of FeO spans conditions of Earth's lower mantle
<p>The tables here represent the Source Data for figures in the manuscript titled "Quantum critical phase of FeO spans conditions of Earth's mantle base".</p><p> </p>
Datasets to reproduce the figures of the manuscript "Hamming Distance and the onset of quantum criticality"
<p>These files, separated by folders, contain the datasets and the Python scripts necessary to reproduce the Figures of the manuscript "Hamming Distance and the onset of quantum criticality". Figures are also attached. An updated version of Matplotlib is required to plot the data.</p>
Data for critical fluctuations in a confined driven-dissipative quantum condensate
<p>All the raw data sets collected for this project are included in this submission. 'Readme.text' files are included with the data sets explaining what the data sets are and how to read them. </p> <p>We divided the real space data into 8 diifferent files for uploading purposes. We had trouble uploading it as a single file due to the large file size so we divided the data into 8 different files. </p> <p>Files real_space_data_1,real_space_data_2, real_space_data_3, real_space_data_4, real_space_data_5, real_space_data_6,real_space_data_7 and real_space_data_8 are a SINGLE data set. </p>
Thermalization and Criticality on an Analog-Digital Quantum Simulator
<p>Data underlying conclusions in https://arxiv.org/abs/2405.17385</p> <p>Fig2_1: Bitstring distributions underlying Fig. 2b,c, including evolution times in ns and lists of qubits for each system size. The data has dimension [system_sizes,randomization_index,evolution_times]. Each distribution is represented as a dictionary with keys corresponding to bitstring decimal representations, and values representing the number of times each bitstring appeared in the experiment.</p> <p>Fig3_1: Ramp dependence data underlying Fig. 3b-f,h, including also ramp times in ns and qubit coordinates. The data array has dimensions [ramp_times,repetitions,qubits]</p> <p>Fig3_2: Data collected throughout ramp (underlying Fig. 3i), including ramp fractions, ramp times in ns, and qubit coordinates. The data array has dimensions [ramp_times,ramp fractions,repetitions,qubits] </p> <p>Fig4_1: Measurements with varying number of initial excitations, used for Fig. 4a-e (n=0 used for Fig. 3g). The data was measured in 3 batches and includes various operator patterns for determining Swendsen's vortex operator. The file contains qubit coordinates, ramp times, excitation numbers, operator patterns, and the full data array. The data array has dimensions [batches,ramp_times,operator_patterns,repetitions,qubits]</p> <p>Fig4_2: Entanglement entropy data underlying Fig. 4f, as well as list of subsystem sizes and number of excitations. The data array has dimensions [subsystem_size,randomization_index,excitation_number,subsystem_index]</p> <p>Fig5_1: Thermalization data underlying Figs. 5c-e, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits]. </p> <p>Fig5_2: Transport data underlying Figs. 5f-h, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits].</p> <p>Fig5_3: Vorticity data underlying Figs. 5i-k, as well as a list of qubit coordinates, evolution times in ns, and operator patterns. The data array has dimensions [operator_patterns,evolution_times,repetitions,qubits]</p>
Raw data for publication titled " GaN buffer growth temperature and efficiency of InGaN/GaN quantum wells: The critical role of nitrogen vacancies at the GaN surface"
<p>Raw data (Time-resolved photoluminescence and Secondary Ion Mass Spectrometry) used for the publication: <a href="https://doi.org/10.1063/5.0040326">https://doi.org/10.1063/5.0040326</a></p> <p>Layer sequence of each sample could be found in the excel sheet named SampleLibrary</p> <p> </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.