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46 results for “quantum dynamics”
Photophysical and Spectroscopic dataset for Carrier Dynamics and Recombination in Ag-In-Zn-S Quantum Dots
<p>(1) HR-TEM images of alloyed AgIn<sub>1.5</sub>Zn<sub>1.9</sub>S<sub>3.6</sub> (A1) and AgIn<sub>1.5</sub>Zn<sub>4.4</sub>S<sub>6.8</sub> (A2) nanocrystals.</p> <p>(2) Energy-dispersive spectra of alloyed AgIn<sub>1.5</sub>Zn<sub>1.9</sub>S<sub>3.6</sub> (A1) and AgIn<sub>1.5</sub>Zn<sub>4.4</sub>S<sub>6.8</sub> (A2) nanocrystals.</p> <p>(3) UV-vis-NIR spectra of A1 nanocrystals and A1-MV, where the nanocrystals are conjugated with methyl viologen (MV2+) molecules.</p> <p>(4) (a) Normalized PL decays of A1 nanocrystals measured at various detection wavelengths, (b and c) PL decays measured at room temperature for A1 and A2 nanocrystals, (d and e) PL decays measured at various temperatures for A1 and A2 nanocrystals.</p> <p>(5) Transient absorption (TA) spectra for A1 nanocrystals for various pump-probe delays.</p> <p> </p> <p>This work was supported by National Science Centre Poland Grant No. 2019/35/B/ST3/04235.</p> <p>P.K., P.B., and A.P. acknowledge the financial support from the National Science Centre of Poland, Grant No. 2022/45/B/ST5/02120.</p>
Reproducibility pack for article: Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization
<p>The supplementary material contains a reproducibility pack for results presented in the paper:</p> <p><em>Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization</em><br>Aurel Bulgac, Matthew Kafker, Ibrahim Abdurrahman, and Gabriel Wlazłowski<br><a href="https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.L042003">Phys. Rev. Research 6, L042003 (2024)</a></p> <p>The packs contain full information needed to restore the numerical simulation of dynamics of 12 quantum vortices.<br>To be able to restore the results of calculations, you need to use the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a>.<br>See the documentation of the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a> to learn how to use the code and the reproducibility packs.</p>
Research data supporting "Surface dynamics and ligand-core interactions of quantum size photoluminescent gold nanoclusters"
<p>Experimental research raw data supporting the publication by Lin, Y. et al, 2018, Surface dynamics and ligand-core interactions of quantum sized photoluminescent gold nanoclusters, Journal of the American Chemical Society. DOI: 10.1021/jacs.8b04436</p> <p>Molecular simulation data is available upon reasonable request from irene.yarovsky@rmit.edu.au.</p>
Supporting data for "Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics"
<p>Supporting data for "<a href="https://www.nature.com/articles/s41467-023-36666-y">Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics</a>" by M. Bocus, R. Goeminne, A. Lamaire, M. Cools-Ceuppens, T. Verstraelen and V. Van Speybroeck, <em>Nature Communications</em>, <strong>2023</strong>, 14, 1008.</p> <p>This dataset contains examples of input files, submission and analysis scripts to train and use a machine learning potential based on the Schnet architecture for the proton hopping reaction in the H-CHA zeolite. The complete DFT training set, obtained by unbiasing the forces printed by CP2K (with PLUMED coupling), is stored as extended xyz files in the folders DFT/A-B/training_data.xyz where A=1-3 and A<B<5. More details on the folder architecture can be found in the README.md file.</p>
Data of "Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks"
<p>The uploaded files contain the data of the simulations presented in the figures in <a href="https://doi.org/10.48550/arXiv.2304.11209">https://doi.org/10.48550/arXiv.2304.11209</a>.</p>
Data underpinning "Unraveling long-time quantum dynamics using flow equations"
<p>The study of many-body quantum dynamics in strongly-correlated systems is extremely challenging. To date few numerical methods exist which are capable of simulating the non-equilibrium dynamics of two-dimensional quantum systems, in part reflecting complexity theoretic obstructions. In this work, we present a new technique able to overcome this obstacle, by combining continuous unitary flow techniques with the newly developed method of scrambling transforms. We overcome the prejudice that approximately diagonalizing the Hamiltonian cannot lead to reliable predictions for relatively long times. To the contrary, we show that the method works well in both localized and delocalized phases, and makes reliable predictions for a number of quantities including infinite-temperature autocorrelation functions. We complement our findings with rigorous incremental bounds on the truncation error. This approach shows that in practice, the exploration of intermediate-scale time evolution may be more feasible than is commonly assumed, challenging near-term quantum simulators.</p>
Data sets for "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators"
<p>Data sets for the return rates and Loschmidt eigenvalues for the paper "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators". Included are data for both bulk calculations and finite open systems labelled OBC. Data files are named with the quench parameters, see the article for details.</p>
Preempting fermion sign problem: Unveiling quantum criticality through nonequilibrium dynamics in imaginary time
Open the record for dataset details and reuse information.
Data and Code for "Space-time correlations in monitored kinetically constrained discrete-time quantum dynamics"
<div> <pre>This repository contains the source code, notebooks, data and basic figures for the manuscript <br>"Space-time correlations in monitored kinetically constrained discrete-time quantum dynamics". <br><br>Comments welcome. </pre> </div>
Polarization dynamics of solid-state quantum emitters
<p>A. Kumar et al., Polarization dynamics of solid-state quantum emitters</p> <p>Quantum emitters in solid-state crystals have recently attracted a lot of attention due to their simple applicability in optical quantum technologies. The polarization of single photons generated by quantum emitters is one of the key parameters that play a crucial role in the applications, such as quantum computation that uses the indistinguishability of photons. However, the degree of single photon polarization is typically quantified using time-averaged photoluminescence intensity of single emitters, which provides limited information about the dipole properties in solids. In this work, we use single defects in hexagonal boron nitride and nanodiamond as efficient room-temperature single photon sources to reveal the origin and the temporal evolution of dipole orientation in solid-state quantum emitters. The angle of excitation and emission dipoles relative to the crystal axes are determined experimentally and then calculated using density functional theory, which results in characteristic angles for every specific defect that can be used as an efficient tool for defect identification and understanding their atomic structure. Moreover, the temporal polarization dynamics reveal a strongly modified linear polarization visibility that depends on the excited state decay time of individual excitation. This effect can be traced back potentially to the excitation of excess charges in the local crystal environment. Understanding such hidden time-dependent mechanisms can further be used to improve the performance of polarization-sensitive experiments, in particular that of quantum communication with single photon emitters. We, therefore, provide a promising pathway for the identification of color centers as well as important insight into the dynamics of solid-state quantum emitters in general.</p> <p>(preprint at <a href="https://arxiv.org/abs/2303.04732">arXiv:2303.04732</a>; published at <a href="https://pubs.acs.org/doi/full/10.1021/acsnano.3c08940">https://pubs.acs.org/doi/full/10.1021/acsnano.3c08940</a>)</p> <p>This supplementary file contains the properties of defect candidates, which include ZPL, excitation and emission polarization, polarization misalignment, and linear polarization visibility to support the findings in the paper.</p> <p>Questions regarding this dataset should be sent to the corresponding authors.</p>
Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition"
<p>Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition".</p> <p>neutron_data.zip --> neutron data in .nxspe form. S(Q,E) calculated using the DAVE software. Includes logbook spreadsheet. </p> <p>Training_Data.xyz --> xyz file containing training data used to generate Allegro machine learning forcefield in the paper</p> <p>nh3_pimd.deploy --> Trained Allegro model to that can be used in LAMMPS and RXMD software a ML forcefield </p> <p>POSCAR_UNIT_CELL_AMMONIA --> NH3 unit cell in solid phase in POSCAR format that can be read by the VASP software used to perform the DFT simmulations.</p>
Figure files for Charge-noise spectroscopy of Si/SiGe quantum dots via dynamically-decoupled exchange oscillations
<p>This repository contains .fig (matlab) files corresponding to the figures in Charge-noise spectroscopy of Si/SiGe quantum dots via dynamically-decoupled exchange oscillations. The raw data are available from the corresponding author upon reasonable request.</p>
Dynamical topological phase realized in a trapped-ion quantum simulator
<p>Experimental and simulation data as presented.</p>
Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning
<p>This zip file contains datasets for training Behler-Parrinello neural networks using the n2p2 software. Both DFT and VQE training sets are given for both the water monomer and dimer dataset.</p>
Restart uncertainty relation for monitored quantum dynamics. DataSet
<p>Source Data Set for the publication entitled: Restart uncertainty relation for monitored quantum dynamics.</p>
Movies for "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice"
<p>This upload includes movies corresponding to Figures 4 and 5 of the paper "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice", <a href="https://arxiv.org/abs/2409.02268" target="_blank" rel="noopener">arXiv:2409.02268</a>. </p>
Quadrupole transitions and quantum gates protected by continuous dynamic decoupling data
<p>Experimental and theoretical data for the creation of the Figures in the article: Quadrupole transitions and quantum gates protected by continuous dynamic decoupling</p>
Data and codes for "Dynamical Quantum Phase Transitions Following Double Quenches"
<p>Codes for producing figures and data in the paper "Dynamical Quantum Phase Transitions Following Double Quenches" (<a href="https://arxiv.org/abs/2302.01661">https://arxiv.org/abs/2302.01661</a>). Included are the data for the return rates and python codes for producing this data and the figures. A Mathematica file is included which was used for analysing the conditions for DQPTs in the paper, and for producing the remaining figures.</p>
Clinical Efficacy and Molecular Dynamics of Quantum Molecular Resonance (QMR) Electrotherapy in Dry Eye Management
ClinicalTrials.gov study NCT06955806. IPD Sharing: NO. Countries: 1. Publications: 1.
Structuran and NMR Characterization of Hexamer and Octamer Foldamers in Chloroform and Water: A Molecular Dynamics and Quantum Mechanics Approach
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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.