An algebraic multigrid linear solver for extruded meshes: application to ice sheet simulation
Abstract not provided.
Publications
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Jump to search filtersL2 Milestone: Multiscale Analysis and Comparisons of Cavity Collapse in High Explosives
Abstract not provided.
Geometric Multigrid for Scalable DPG Solves in Camellia
Abstract not provided.
Enabling Scalable Multiphysics Simulations through Block Preconditioning
Abstract not provided.
Wireless Temperature Sensing through Opaque Media using Permanent Magnets
Abstract not provided.
Studying Si/SiGe disordered alloys within effective mass theory
Abstract not provided.
Extending Strong Scaling of Quantum Monte Carlo (QMC) to the Exascale
Abstract not provided.
Staying on the path
Abstract not provided.
Vacuum Field Emission Models Measurements and Simulations
Abstract not provided.
Mortar Flux Recover (MFR) Algorithm and Analysis
Abstract not provided.
Slycat Tutorial
Abstract not provided.
A Three-Dimensional Implicit Thermo-Mechanical Computational Model for Polythermal Ice
Abstract not provided.
A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions
Abstract not provided.
Two-axis control of a coupled quantum dot - donor qubit in Si-MOS
Abstract not provided.
Efficient Memory Acquisition via Sparse Sampling
Abstract not provided.
Leveraging the Expanded Memory Hierarchy to Support Diverse IO Workloads
Abstract not provided.
Topology Optimization: Challenges Algorithms and Applications
Abstract not provided.
Quantum-Accurate Molecular Dynamics Potential for Tungsten
The purpose of this short contribution is to report on the development of a Spectral Neighbor Analysis Potential (SNAP) for tungsten. We have focused on the characterization of elastic and defect properties of the pure material in order to support molecular dynamics simulations of plasma-facing materials in fusion reactors. A parallel genetic algorithm approach was used to efficiently search for fitting parameters optimized against a large number of objective functions. In addition, we have shown that this many-body tungsten potential can be used in conjunction with a simple helium pair potential1 to produce accurate defect formation energies for the W-He binary system.
Uncertainty Quantification for Machine Learning and Statistical Models
Abstract not provided.
Diagnosing Performance Variations in HPC Architectures Using Machine Learning
Abstract not provided.
Implicit-explicit time integration of multi-fluid plasma models using compatible discretizations
Abstract not provided.
Roadmapping the Future of Computing
Abstract not provided.
Multivariate Quadrature Rules for Correlated Random Variables
MueLu - a multigrid framework for multiphysics preconditioners
Abstract not provided.
Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography
Nature Communications
Quantum information processors promise fast algorithms for problems inaccessible to classical computers. But since qubits are noisy and error-prone, they will depend on fault-tolerant quantum error correction (FTQEC) to compute reliably. Quantum error correction can protect against general noise if - and only if - the error in each physical qubit operation is smaller than a certain threshold. The threshold for general errors is quantified by their diamond norm. Until now, qubits have been assessed primarily by randomized benchmarking, which reports a different error rate that is not sensitive to all errors, and cannot be compared directly to diamond norm thresholds. Here we use gate set tomography to completely characterize operations on a trapped-Yb+-ion qubit and demonstrate with greater than 95% confidence that they satisfy a rigorous threshold for FTQEC (diamond norm ≤6.7 × 10-4).
Results 4176–4200 of 9,998