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109 results for “Entanglement”
Satellite-to-Ground QKD SKR dataset for P&M and Entanglement-based Protocols
<p>This dataset provides calculated Key Performance Indicators (KPIs) for satellite-to-ground quantum key distribution (QKD) links, modeled across Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geostationary Orbit (GEO). The LEO orbit is modeled over a two-week period, while MEO and GEO orbits are modeled over a single day, whereas samples are provided with a sampling rate of 10 seconds.</p> <p>The satellite downlink channel is simulated using two QKD protocols: the Prepare-and-Measure protocol (Decoy-BB84) and the Entanglement-based protocol (BBM92). System specifications align with the LaiQa project source prototype, incorporating SNSPDs as the detection technology and assuming telescope-to-fiber coupling for ground reception.</p> <p>This dataset includes essential input metrics such as elevation angles for different orbits and various Optical Ground Stations (OGS) over time, along with key output metrics, including Secure Key Rates (SKR), Quantum Bit Error Rate (QBER), and Link Loss. Additionally, a comprehensive PDF guide is provided to assist with data handling and interpretation.</p> <p>Note: The results that are presented in the READ_ME file provide the volume of distilled keys and the number of distilled AES 256 keys over a time period of two weeks for different satellite orbits.</p>
Exploring Large-Scale Entanglement in Quantum Simulation
<p>Here we provide data for the manuscript " <a href="https://arxiv.org/abs/2306.00057">Exploring Large-Scale Entanglement in Quantum Simulation</a> " with arXiv id <a href="https://arxiv.org/abs/2306.00057">"arXiv:2306.00057</a>". The data set contains both raw and analyzed data saved as ".mat files" Please see the uploaded readme file to understand the data structure. The peer-reviewed article will appear in the future. Please check the published article for recent figures. </p>
Supporting data for "Entanglement between a Telecom Photon and an On-Demand Multimode Solid-State Quantum Memory"
<p>This repository contains the data supporting the article "Entanglement between a Telecom Photon and an On-Demand Multimode Solid-State Quantum Memory" by Jelena V. Rakonjac, Dario Lago-Rivera, Alessandro Seri, Margherita Mazzera, Samuele Grandi and Hugues de Riedmatten, Phys Rev Lett 2021.</p> <p>The data files used for the figures in the main text are included here, as well as a version of the final article submission.</p>
Beyond the Four-Level Model: Dark and Hot States in Quantum Dots Degrade Photonic Entanglement
<p><strong>Dataset for "Beyond the four-level model: Dark and hot states in quantum dots degrade photonic entanglement"</strong></p> <p><em>Nano Lett.</em> 2023, 23, 4, 1409–1415<br> Publication Date: February 6, 2023<br> <a href="https://doi.org/10.1021/acs.nanolett.2c04734">https://doi.org/10.1021/acs.nanolett.2c04734</a></p> <p>A description of the dataset is found in the <strong>readme.md</strong> file (markdown markup language).</p> <p><strong>Data reuse</strong><br> Please cite B.U. Lehner et al., <em>Nano Lett.</em> 2023, 23, 4, 1409–1415 (2023) in publications that reuse this data and if possible inform the corresponding authors.</p>
Data for Entanglement of Orbital Angular Momentum in Non-Sequential Double Ionization
<p>Data for publication “Entanglement of Orbital Angular Momentum in Non-Sequential Double Ionization”, available at https://arxiv.org/abs/2111.10148. A readme.txt file is included with the data.</p> <p><strong>Authors</strong></p> <p>Andrew S. Maxwell, Lars Bojer Madsen, Maciej Lewenstein</p> <p><strong>Abstract</strong></p> <p>We address orbital angular momentum (OAM) entanglement in ultrafast processes. In the strongly correlated process of non-sequential double ionization (NSDI) we demonstrate robust photoelectron entanglement. In contrast to commonly considered continuous variable entanglement measures, the discrete OAM allows for a simpler interpretation, computation, and measurement of entanglement. The logarithmic negativity reveals that the entanglement is robust to incoherent effects and an entanglement witness is used to minimize the number of measurements to detect the entanglement, while both quantities can be directly related to coherence terms between OAM channels. We quantify the entanglement for a large range of targets and field parameters to find the most entangled photoelectron pairs. This methodology provides a general way to use OAM to quantify and measure entanglement that is well-suited to attosecond processes, and we show can be exploited to enhance imaging capabilities through correlated measurements, or could be used for generation of OAM-entangled electrons.</p>
Experimental results dataset reported in the paper: "Temporal teleportation with pseudo-density operators: how dynamics emerges from temporal entanglement."
<p><strong>Temporal teleportation with pseudo-density operators: how dynamics emerges from temporal entanglement.</strong></p> <p>Experimental results data-set (as reported in Figure 2 of the main paper).</p> <p>Caption of the Figure: Classical bound violation ∆S<em><sup>(l)</sup></em>(n) =S<em><sup>(l)</sup></em>(2n)−(2n−2) (<em>l=T,H,S</em>) for the multi-parameter <em>CHSH</em> inequalities in the temporal (red), spatial (grey) and “hybrid” (blue) domain. The dots represent the experimental results, with the uncertainty bars evaluated as statistical fluctuations among repeated measurement sets, while the solid curves show the theoretically-expected values (for the correlations belonging to the spatial domain, deviations from the ideal case due to the V<em><sub>s</sub></em>= 0.982 estimated visibility of the generated |<em>ψ<sub>−</sub></em>〉state were considered)</p> <p>Data-set description:</p> <p>Column 1 = X-coordinate: n (Number of Settings)</p> <p>Column 2 = Y-coordinate: ∆S<em><sup>(S)</sup></em>(n), Space-like (S) CHSH Violation [Grey color in the figure on the paper]</p> <p>Column 3 = Uncertainty on ∆S<em><sup>(S)</sup></em>(n) (Space-like, S, Grey in the figure on the paper), </p> <p>Column 4 = Y-coordinate: ∆S<em><sup>(H)</sup></em>(n), Hybrid (H) CHSH Violation [Blue color in the figure on the paper]</p> <p>Column 5 = Uncertainty on ∆S<em><sup>(H)</sup></em>(n) (Hybrid, H, Blue in the figure on the paper)</p> <p>Column 6 = Y-coordinate: ∆S<em><sup>(T)</sup></em>(n), Time-like (T) CHSH Violation [Red color in the figure on the paper]</p> <p>Column 7 = Uncertainty on ∆S<em><sup>(T)</sup></em>(n) (Time-like, T, Red in the figure on the paper)</p>
Data of the publication "Transport and entanglement growth in long-range random Clifford circuits"
<p>Conservation laws can constrain entanglement dynamics in isolated quantum systems, manifest in a slowdown of higher Rényi entropies. Here, we explore this phenomenon in a class of long-range random Clifford circuits with U(1) symmetry where transport can be tuned from diffusive to superdiffusive. We unveil that the different<br> hydrodynamic regimes reflect themselves in the asymptotic entanglement growth according to <span class="math-tex">\(S(t) \propto t^{1/z}\)</span> where<br> the dynamical transport exponent z depends on the probability <span class="math-tex">\(\propto r^{-\alpha}\)</span> of gates spanning a distance r. For<br> sufficiently small <span class="math-tex">\(\alpha\)</span>, we show that the presence of hydrodynamic modes becomes irrelevant such that S(t) behaves<br> similarly in circuits with and without conservation law. We explain our findings in terms of the inhibited operator<br> spreading in U(1)-symmetric Clifford circuits where the emerging light cones can be understood in the context<br> of classical Lévy flights. Our Letter sheds light on the connections between Clifford circuits and more generic<br> many-body quantum dynamics.</p>
Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"
<p>Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)</p>
Data of "Deterministic creation of entangled atom–light Schrödinger-cat states"
<p>Data published in "<em>Deterministic creation of entangled atom–light Schrödinger-cat states</em>"</p> <p>Nature Photonics <strong>volume 13</strong>, pages110–115(2019)</p>
Data and Mathematical notebook for "Fractional-statistics-induced entanglement from Andreev-like tunneling"
<p>The uploaded files "SourceRightON_full.txt", "SourceLeftON_full.txt" and "BothSourcesON_full.txt" contain data for the work entitled "Fractional-statistics-induced entanglement from Andreev-like tunneling".</p> <p> </p> <p>The other file "New_Anyonic_data_fittings v2.nb" is the Mathematica notebook with which we perform the data analysis. When using it, please place three data files (mentioned above) in the Download folder.</p>
Supporting data for "Multipartite entangled states in dipolar quantum simulators"
<p>Supporting data for "Multipartite entangled states in dipolar quantum simulators" (https://arxiv.org/abs/2205.03910.), by Tommaso Comparin, Fabio Mezzacapo and Tommaso Roscilde. If you use these data in a scientific work, please cite the corresponding article.</p> <p>This dataset includes tVMC and exact results for the two-dimensional dipolar XX model, on square or triangular (periodic) lattices.</p> <p>These results are directly shown in Figures 1-5 of the main text, with the following organization:<br> - See Fig_collective_spin_dynamics for Fig. 1(b); see Fig_GHZ_fidelity for Fig. 1(d).<br> - See Fig_spin_squeezing for Fig. 2.<br> - See Fig_full_counting_statistics_N20 for Fig. 3.<br> - See Fig_Fisher_information_inequality for Fig. 4.<br> - See Fig_GHZ_fidelity for Fig. 5.</p> <p>We also include the exact-diagonalization results shown in Fig. 7 of the Supplementary Material -- see Fig_tower_of_states.</p>
Data of "Efficient generation of entangled multi-photon graph states from a single atom"
<p>Data published in "<em>Efficient generation of entangled multi-photon graph states from a single atom</em>"</p>
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>
Figure 4 in Chronic stress from fishing gear entanglement is recorded in baleen from a bowhead whale (Balaena mysticetus)
Figure 4. Glucocorticoid hormone profile in baleen from entangled bowhead whale 17B6. Baleen GC concentrations (ng/g) are shown as red circles for cortisol and orange circles for corticosterone. Sample dates were estimated based on an annual baleen growth rate of 17.5 cm/yr, starting with the harvest date (5 May 2017) on the right side of the bottom x-axis and extending retrospectively to approximately November 2005 on the left side of the x-axis (tick marks are months). Sampling locations along the baleen plate are shown on the top x-axis, and background gridlines represent the 1.25 or 2.5 cm sampling intervals used, starting at the plate base.
Figure 3. The first 10 in Chronic stress from fishing gear entanglement is recorded in baleen from a bowhead whale (Balaena mysticetus)
Figure 3. The first 10 cm of the baleen plate from bowhead whale 17B6 showing a measuring tape attached to the labial margin of the plate to guide sampling intervals. Samples were drilled every 1.25 cm (~26 d intervals) across the horizontal growth lines along the plate for the first 35 cm of growth to maximize the possibility of capturing data on the entanglement event from more recent baleen growth, and every 2.5 cm (~52 d intervals) for the reminder of the plate to establish baseline levels of GCs prior to the entanglement. Samples were collected using a hand-held Dremel rotary tool to produce pulverized baleen powder for glucocorticoid hormone analysis.
Figure 2. Fishing rope recovered from bowhead whale 17B6 in Chronic stress from fishing gear entanglement is recorded in baleen from a bowhead whale (Balaena mysticetus)
Figure 2. Fishing rope recovered from bowhead whale 17B6 included two types of 19 mm diameter rope. Segment (#1) appeared to be white nylon rope, while segments (#s 2, 4, 5) were blue-flecked and most likely a copolymer rope. Segment (#3) was line used by the hunters during the harvest and was not part of the whale entanglement. Fraying of the rope ends was consistent with cut ends that had not been heat sealed or whipped. It was not possible to determine the status of the gear at the time of entanglement.
Figure 1. Entangled bowhead whale 17B6 in Chronic stress from fishing gear entanglement is recorded in baleen from a bowhead whale (Balaena mysticetus)
Figure 1. Entangled bowhead whale 17B6. (A) 17B6 appeared quite thin in the posterior region, and had six full wraps of fishing line around the peduncle (white circle). (B) Close-up of the peduncle of 17B6 showing the embedded fishing line. Photo credits: North Slope Borough Department of Wildlife Management, taken under NMFS permit # 17350-01.
α/β hydrolases: towards unraveling entangled classification
<p>This dataset provides additional data used in the<strong> </strong>manuscript <strong>α/β hydrolases: towards unraveling entangled classification</strong>.</p> <p><strong>ab.hmm</strong></p> <p>HMM profiles for all protein clusters discussed in the manuscript.</p> <p><strong>AB_hydrolases_PDB.rar</strong></p> <p>An archive file with all superimposed 3D structures used in multiple structure alignment.</p> <p><strong>Additional domains in clusters.txt</strong></p> <p>A text file containing the counts of additional protein domains identified in each cluster, based on HMMSCAN searches run against Pfam HMM profiles. File format follows the scheme:</p> <ol> <li>cluster name</li> <li>total cluster count</li> <li>list of additional domains count</li> </ol> <p> </p>
Equilibrated Kremer-Grest polymer melts of M=500 linear chains with Z=100 entanglements for varying chain stiffness.
<p>Kremer-Grest model polymer melts of highly entangled linear chains. Each melt has approximately 500 chains of Z=100 entanglements each. Systems have been generated for integer and half-integer stiffness kappa=-2.0 to 6.0. System sizes range from 8M to 2M beads.</p> <p>For details regarding the equilibration process and the Kremer-Grest polymer model see C. Svaneborg & R. Everaers ""Multiscale equilibration of highly entangled isotropic model polymer melts" J. Chem. Phys. 158, 054903 (2023) <a href="https://doi.org/10.1063/5.0123431">https://doi.org/10.1063/5.0123431</a></p> <p>Filenames denote the kappa<value> used when equilibrating the melt as well as the number of entanglements Z<number> and the number of molecules M<number>. The files are in ASCII format in the format of a LAMMPS data files. (https://lammps.sandia.gov) The semantics is self-explanatory, sections contains id, molecule, unwrapped coordinates of all beads, as well as bond and angular interactions between all beads.</p> <p>We acknowledge that part of the results of this research was obtained using the PRACE Research Infrastructure resource Joliot-Curie SKL based in France at GENCI@CEA. Computing facilities were provided by the eScience Center at the University of Southern Denmark and financed by the Faculty of Science.</p> <p>Please cite as:</p> <p>@article{MultiscaleEquilibrationHighlyEntangledIsotropicModelPolymerMelts,<br> author = {Svaneborg,Carsten and Everaers,Ralf },<br> title = {Multiscale equilibration of highly entangled isotropic model polymer melts},<br> journal = {J. Chem. Phys.},<br> volume = {158},<br> number = {5},<br> pages = {054903},<br> year = {2023},<br> doi = {10.1063/5.0123431},</p> <p> URL = {https://doi.org/10.1063/5.0123431}</p> <p>}<br> </p> <pre>@misc{EquilibratedKGMeltsZ100, author = {Svaneborg,Carsten and Everaers,Ralf}, title = {Equilibrated Kremer-Grest polymer melts of M=500 linear chains with Z=100 entanglements for varying chain stiffness.}, month = feb, year = 2023, publisher = {Zenodo}, version = {1.0}, doi = {10.5281/zenodo.7319837}, url = {https://doi.org/10.5281/zenodo.7319837} }</pre>
A photonic entanglement filter with Rydberg atoms
<p>Devices capable of deterministically manipulating the photonic entanglement are of paramount importance, since photons are the ideal messengers for quantum information. However, due to the non-interacting nature of photons, many photonic quantum operations have only been demonstrated using probabilistic linear-optical approaches, which lead to overwhelming resource overhead and poor scalability. Here, we report a novel entanglement filter that transmits the desired photonic entangled state and blocks the unwanted ones. In contrast to prior probabilistic approaches, our experiment exploits strong and controllable photon-photon interaction enabled by Rydberg atoms, so the filtering of undesired states succeeds in a fully deterministic way. Photonic entanglement with near-unity fidelity can be extracted from an input state with an arbitrarily low initial fidelity. The protocol is inherently robust, and succeeds both in the Rydberg blockade regime and in the interaction-induced dissipation regime. Such an entanglement filter opens new routes toward scalable photonic quantum information processing with multiple ensembles of Rydberg atoms.</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.