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23 results for “Fault tolerance”
A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset
<p>Simulated sydromes measurement of quantum surface code error correction.<br>Used for the paper: "<a href="https://doi.org/10.48550/arXiv.2307.09463">A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction</a>".</p> <p>File names: <code>d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples></code></p> <p>Each file is formatted as csv with the following columns:</p> <ul> <li>label: binary label (0: no error, 1: error)</li> <li>syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))</li> <li>quantity: number of samples for this label + syndrome sequence</li> </ul> <p>Only distance 3 is currently available with 10M samples for each physical fault rate.</p> <p>The data generation relies on <a href="https://github.com/quantumlib/Stim" target="_blank" rel="noopener">Stim</a>.</p>
A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Simulation Data
<p>Simulation output data used to generate figures of the paper: "<a href="https://doi.org/10.48550/arXiv.2307.09463">A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction</a>"</p>
Parallel window decoding enables scalable fault tolerant quantum computation
<p>Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.</p> <p> </p>
Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization
<p>Data repository for "Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization" <a href="https://arxiv.org/abs/2403.03502" target="_blank" rel="noopener">arXiv:2403.03502</a>.</p>
Demonstration of fault-tolerant universal quantum gate operations
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
Dataset of the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements"
<p>Dataset for the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements" published in RTAS'22 conference</p>
Supporting data for 'Fast universal quantum gate above the fault-tolerance threshold in silicon'
<p>Data supporting for paper 'Fast universal quantum gate above the fault-tolerance threshold in silicon'.</p> <p>All the data are stored in the HDF5 format that can be conveniently loaded by the xarray Python package.</p>
Supplementary data for "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory"
<p>Supplementary data belonging to "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory".</p> <p>The data includes geometries for the molecules in the paper as well as the Hamiltonian matrix elements, orbital coefficients and overlap matrices to reproduce the data in the paper.</p>
Sliding window constrained fault-tolerant filtering of compressor vibration data
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Demonstration of fault-tolerant Steane quantum error correction
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
Fault-Tolerant Computing with Single Qudit Encoding in a Molecular Spin. Open data set
<div> <p>Data supporting the original figures 2, 3 and 4 (ESI) of the related manuscript.</p> </div>
Data for "Fault-tolerant quantum architectures based on erasure qubits"
<p>Example Stim circuits used to simulate Floquet codes implemented with erasure qubits. Each circuit is the converted stabilizer circuit for a given pattern of erasure check detection events. To view the circuit diagram, please download the file and change the extension to html.</p>
Measurement-free, scalable and fault-tolerant universal quantum computing
<p>The repository is supporting the publication "Measurement-free, scalable and fault-tolerant universal quantum computing". </p> <p>It includes the data shown in the manuscript as well as the simulation code and circuits that were used to obtain this data. </p>
Dataset Accompanying: Simultaneous single-qubit driving of semiconductor spin qubits at the fault-tolerant threshold
<p> The promise of quantum information technology hinges on the ability to control large numbers of qubits with high fidelity. Quantum dots define a promising platform due to their compatibility with semiconductor manufacturing. Moreover, high-fidelity operations above 99.9\% have been realized with individual qubits \cite{Yoneda2018,Yang2019a,Hendrickx2021}, though their performance has been limited to 98.67\% when driving two qubits simultaneously \cite{Xue2019}. \textcolor{red}{Here we present single-qubit randomized benchmarking in a two-dimensional array of spin qubits, finding native gate fidelities as high as 99.992(1)\%. Furthermore, we benchmark single qubit gate performance while simultaneously driving two and four qubits. To do this, we develop a novel benchmarking technique called $N$-copy randomized benchmarking, designed for simple experimental implementation, while providing a good estimate of the simultaneous qubit gate fidelity. We find two- and four-copy randomized benchmarking fidelities as high as 99.905(8)\% and 99.34(4)\% respectively. We also find that two-copy benchmarking of next-nearest neighbour pairs can return fidelities within the error margin of their single qubit cases, indicating that cross talk can be highly local in the absence of an exchange interaction.} These characterizations of the single-qubit gate quality and the ability to operate simultaneously are crucial aspects for scaling up germanium based quantum information technology. </p>
Data from: The design of an intelligent fault-tolerant control for floating offshore wind turbine with blade faults
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Software Architecture Catalog for Fault-Tolerant Containerized Systems
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Raw data and analysis scripts underlying the publication "Grover's algorithm in a four-qubit silicon processor above the fault-tolerant threshold"
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Multipath aware Scheduling for High Reliability and Fault Tolerance in Low Power Industrial Networks
<p>The Industrial Internet of Things is expected to enable the Industry 4.0 through the large deployment of low-<br> power devices. However, industrial applications require most of the time high reliability close to 100%, and<br> low end-to-end delays. Thus, most industrial wireless networks rely on a strict schedule of the transmissions<br> to avoid collisions, and implement frequency hopping to combat external interference. In multihop topologies,<br> the network has to decide both when the transmissions have to be scheduled, and which router can forward<br> the packets. To be fault-tolerant, multipath routing consists in exploiting several paths in parallel. We<br> exploit here a braided path routing structure, where each router has several possible next hops. Thus, we<br> can cope with any fault along the path, while still providing a remaining operational path. We propose<br> also a scheduling algorithm, where multiple transmitters are attached to a single cell, to the same receiver.<br> The schedule is constructed such that only one transmitter is active at a time, and is consequently collision-<br> free. Mutualizing the same cell for several transmitters reduces the energy consumption and increases the<br> network capacity.</p>
Fault-tolerant preparation and gate fidelity simulation of the punctured quantum Reed-Muller 127 codes
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Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
<p>Here we provide some example videos of safety violations of Apollo caused by sensor faults</p>
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International Brain Laboratory public data
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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.