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56 results for “Quantum simulation”
Dynamical topological phase realized in a trapped-ion quantum simulator
<p>Experimental and simulation data as presented.</p>
Analogue quantum simulation of the Hawking effect in a polariton superfluid
<p>This data set contains all the fluid velocities, fluid densities and second order spatial correlations presented in Fig. 3 of the paper Analogue quantum simulation of the Hawking effect in a polariton superfluid <a href="https://doi.org/10.48550/arXiv.2201.02038">arXiv.2201.02038</a> published in EPJD.</p> <table summary="Additional metadata"> <tbody> <tr> <td> </td> <td> </td> </tr> </tbody> </table> <p> </p>
Data: Characterization of Overparameterization in Simulation of Realistic Quantum Systems
<p>Raw data, figures, plot settings, and simulation settings for "Characterization of Overparameterization in Simulation of Realistic Quantum Systems" Phys. Rev. A 109, 062607 (2024) <a href="https://doi.org/10.1103/PhysRevA.109.062607">https://doi.org/10.1103/PhysRevA.109.062607</a></p>
Datasets and simulation scripts for "Finite-temperature Rydberg arrays: quantum phases and entanglement characterization"
<p>The files contain the datasets with the results of the manuscript "Finite-temperature Rydberg arrays: quantum phases and entanglement characterization".</p> <p>The URL links to the repository with the simulation scripts used to produce the datasets. Running the simulation scripts require Quantum Green TEA v0.3.23 which comes with Quantum TEA Leaves v0.4.46 as a dependency. Quantum Green TEA is not open source, but is available on request. Exceptionally, the scripts for producing the datasets for convergence analyisis require Quantum Green TEA v0.3.23 and Quantum TEA Leaves version>v0.2.30.</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>
Efficient parallelization of tensor network contractions for simulating quantum computation
<p> In this paper, we demonstrate a classical simulation framework for quantum computation by contracting tensor networks of sizes previously deemed out of reach. The main contribution of this work is a parallelization scheme called <em>index slicing</em> that breaks down an infeasibly large tensor network contraction task into smaller subtasks that can be executed fully in parallel, without interdependencies or intermediate communications. As a benchmarking example, we show that our algorithm can reduce the simulation of the Sycamore random circuit sampling task to less than 20 days, achieving an acceleration of over five orders of magnitude compared to the original proposal. We then showcase the capabilities of the simulation framework via investigations of near-term quantum algorithms and quantum error correction. Given the ubiquity of tensor networks in quantum information science, we believe that our simulation framework will be a valuable tool in the era of quantum information technology.</p>
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
<p>Raw data of paper "<em>Ab initio</em> Quantum Simulation of Strongly Correlated Materials with Quantum Embedding".</p>
Efficient parallelization of tensor network contractions for simulating quantum computation
Open the record for dataset details and reuse information.
Data and Code associated to the paper "Quantum simulation of the tricritical Ising model in tunable Josephson junction ladders"
<p>Modern hybrid superconductor-semiconductor Josephson junction arrays are a promising platform for analog quantum simulations. Their controllable and non-sinusoidal energy/phase relation opens the path to implement nontrivial interactions and study the emergence of exotic quantum phase transitions. Here, we propose the analysis of an array of hybrid Josephson junctions defining a 2-leg ladder geometry for the quantum simulation of the tricritical Ising phase transition. This transition provides the paradigmatic example of minimal conformal models beyond Ising criticality and its excitations are intimately related with Fibonacci non-Abelian anyons and topological order in two dimensions. We study this superconducting system and its thermodynamic phases based on bosonization and matrix-product-states techniques. Its effective continuous description in terms of a three-frequency sine-Gordon quantum field theory suggests the presence of the targeted tricritical point and the numerical simulations confirm this picture. Our results indicate which experimental observables can be adopted in realistic devices to probe the physics and the phase transitions of the model. Additionally, our proposal provides a useful one-dimensional building block to design exotic topological order in two-dimensional scalable Josephson junction arrays.</p>
Five-Spin Supramolecule for Simulating Quantum Decoherence of Bell States. Open dataset
<p>Data supporting the original figures 2, 3, 4 of the related publication.</p>
Fault-tolerant preparation and gate fidelity simulation of the punctured quantum Reed-Muller 127 codes
Open the record for dataset details and reuse information.
A proposal for using molecular spin qudits as quantum simulators of light–matter interactions. Open data set
<p>Data supporting the original figures 2,3 of the related publication.</p>
Simulating Static and Dynamic Properties of Magnetic Molecules with Prototype Quantum Computers. Open data set
<p>Data supporting the original figures 1, 2, 3, 4, 5 of the related publication.</p>
VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations
<p>The tar file contains all the files related to the two case studies presented in the article. </p>
Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light
<p>Dataset of the publication "Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light" H. Rose, P. R. Sharapova, and T. Meier, Proc. SPIE 12884, Ultrafast Phenomena and Nanophotonics XXVIII, 1288403 (2024). ( https://doi.org/10.1117/12.2690245 ). The zip file includes the data on which the plots shown in figures 1 and 2 are based.</p>
Simulation data of "Role of Bases in Quantum Optimal Control"
<p>Simulation data of "Role of Bases in Quantum Optimal Control" (link <a href="https://arxiv.org/abs/2405.20889">here</a>).</p> <p>The simulation script and the code to produce the plot can be found <a href="https://gitlab.com/AlicePagano/sigmoid-basis">here</a>.</p> <p> </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)
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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.