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34 results for “Quantum systems”
Theoretical analysis of correlations between two quantum fields exciting a three-level system using the cluster-expansion approach
<p>Dataset of the publication "Theoretical analysis of correlations between two quantum fields exciting a three-level system using the cluster-expansion approach" H. Rose, O. V. Tikhonova, T. Meier, and P. R. Sharapova, Proc. SPIE 11999, Ultrafast Phenomena and Nanophotonics XXVI, 1199905 (2022). ( https://doi.org/10.1117/12.2608528 ). The zip file includes the data on which the plots shown in figures 1, 2, and 3 are based.</p>
Data from: A perspective on hybrid quantum opto- and electromechanical systems
<p>Source data for Figure 2.</p>
Efficiently characterizing quantum information flow, loss and recovery in the central spin system
Open the record for dataset details and reuse information.
Dataset for the manuscript "Realizing the entanglement Hamiltonian of a topological quantum Hall system", arxiv:2307.06251
Open the record for dataset details and reuse information.
Demonstration of quantum volume 64 on a superconducting quantum computing system
<p>Data set published in 'Petar Jurcevic <em>et al</em> 2021 <em>Quantum Sci. Technol.</em> <strong>6</strong> 025020'</p>
Data for A system design approach toward integrated cryogenic quantum control systems
<p>Data for A system design approach toward integrated cryogenic quantum control systems.</p> <p> </p>
ATom: Measurements from the Quantum Cascade Laser System (QCLS), Version 2
This dataset provides atmospheric concentrations of CO2, CH4, CO, and N2O measured by the Harvard Quantum Cascade Laser System (QCLS) instruments during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The QCLS (DUAL and CO2) instrument package contains two separate optical assemblies and calibration systems, and a common data system and power supply. The QCLS DUAL instrument simultaneously measures CO, CH4, and N2O concentrations, in situ, using two thermoelectrically cooled pulsed-quantum cascade lasers light sources, a multiple pass absorption cell, and two liquid nitrogen-cooled solid-state detectors. The QCLS CO2 instrument measures CO2 concentrations in situ using a thermoelectrically cooled pulsed-quantum cascade laser light source, gas cells, and liquid nitrogen cooled solid-state detectors. The CO2 mixing ratio of air flowing through the sample gas cell is determined by measuring absorption from a single infrared transition line at 4.32 microns relative to a reference gas of known concentration.
Raw Data to 'Decay and recurrence of non-Gaussian correlations in a quantum many-body system', arXiv:2003.01808
<p><strong>Absorption images</strong> representing the raw data for <strong>arXiv:2003.01808</strong>, Nature Physics (2021). <a href="https://doi.org/10.1038/s41567-020-01139-2">https://doi.org/10.1038/s41567-020-01139-2</a></p> <p>'scan5100.zip' contains the raw data for figure 2.</p> <p>'scan8679.zip', 'scan8685.zip', and 'scan8696.zip' contain the raw data for the left, middle, and right subplot of figure 3 respectively.</p> <p>The absorption images are numbered consecutively.</p> <p>The first image (for all scans) is taken in the direction of the double-well (DW) separation with our 'transverse' imaging system. The measurement is performed before ramping up the DW barrier. The image is taken after 11 ms time of flight (TOF). Two images are taken. One image with atoms ('1-atomcloud.tif'), and a second image to record the intensity of the imaging beam without atoms ('1-withoutatoms.tif').</p> <p>The subsequent images record the interference fringes for the different evolution times (again always pairs '-atomcloud.tif' and '-withoutatoms.tif'). They are taken with our 'vertical' imaging system after 15.6 ms TOF. The imaging direction is perpendicular to the weakly confined direction of the clouds as well as the DW separation.</p> <p>The recorded evolution times for scan 5100 are -2 ms (right before ramping the DW barrier up), 0 ms (right after the DW barrier is ramped up), and then in 3 ms steps until 18 ms. I.e., '2-atomcloud.tif' corresponds to -2 ms, '9-atomcloud.tif' corresponds to 18 ms. This completes the 'first repeat'. The next picture '10-atomcloud.tif' then belongs to the 'second repeat' and is again taken with the 'transverse' imaging system. The picture '11-atomcloud.tif' is then again taken with the 'vertical' imaging and corresponds to -2 ms. And so forth.</p> <p>In the same way, the pictures for the other scans are ordered, only the recorded evolution times are different. The evolution times are (in ms):</p> <p>scan 8679: -1.2, 0, 2.5, 5, 20 in steps of 2.5 until 32.5<br> scan 8685: -1.3, 0, 2.5, 5, 20 in steps of 2.5 until 32.5<br> scan 8696: -1.6, 0, 2.5, 5, 20 in steps of 2.5 until 32.5</p> <p>The first time always corresponds to right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up.</p> <p>Note that for scan 8696 only the repeats 1 to 193, 215 to 246, 262 to 281, and 295 to 330 have been used. For the other repeats the digital micromirror device (DMD) shaping the optical dipole potential has failed.</p> <p>In addition to the data a matlab script is provided, illustrating how to extract the two dimensional atomic density from the absorption images. It contains all relevant parameters of the imaging systems.</p>
Replication Package: Migrating Software Systems towards Post-Quantum-Cryptography - A Systematic Literature Review
<p>This is the replication package for our systematic literature review and can be used for the reproducibility of the individual steps of our search and selection methodology.</p>
A Multi-Center Study of the CF Quantum® Sweat Test System
ClinicalTrials.gov study NCT02404714. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of the Endovascular QUANTUM LP™ Stent Graft System in Abdominal Aortic Aneurysms (AAA)
ClinicalTrials.gov study NCT00233688. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
<p>This dataset was collected from GitHub and Stack Exchange (including Stack Overflow, Quantum Computing Stack Exchange, and Computer Science Stack Exchange) to conduct an empirical study on architecture decisions in quantum software systems. We provide below a brief description of each file:</p><p>1. Dataset (GitHub).xlsx</p><p>contains selected quantum software projects from GitHub with project names, issue IDs, and issue URLs and the data extracted from the GitHub issues that are related to architecture decisions in quantum software development.</p><p>2. Dataset (SO).xlsx</p><p>contains the IDs and URLs of Stack Overflow (SO) labeled posts and the extracted data from the Stack Overflow posts that are related to architecture decisions in quantum software development.</p><p>3. Dataset (QC).xlsx</p><p>contains the IDs and URLs of Quantum Computing (QC) Stack Exchange labeled posts and the extracted data from the Quantum Computing Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>4. Dataset (CS).xlsx</p><p>contains the IDs and URLs of Computer Science (CS) Stack Exchange labeled posts and the extracted data from the Computer Science Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>5. Extracted Data (GitHub+SO+QC+CS).xlsx</p><p>provides the final results of data extracted from the related GitHub issues, SO posts, QC posts, and CS posts.</p>
Emergent tracer dynamics in constrained quantum systems
<p>This repository contains the dataset, the code files to create the dataset, and a python file to plot the data for the corresponding publication.</p>
Hilbert Space Fragmentation in Open Quantum Systems
<p>Data and codes for the project.</p>
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DANDI Archive for NWB datasets
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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.