QCAD Simulation and Optimization of Semiconductor Quantum Dots
Journal of Applied Physics
Abstract not provided.
Publications
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Jump to search filtersThe QCAD Framework for Quantum Device Modeling
Abstract not provided.
FELIX: advances in modeling forward and inverse icesheet problems
Abstract not provided.
Rapid Development of an Ice Sheet Climate Application using the Components-Based Approach
Abstract not provided.
A New Unstructured Variable-Resolution Finite Element Ice Sheet Stress-Velocity Solver within the MPAS/Trilinos FELIX Dycore of PISCEES
Abstract not provided.
FELIX: advances in modeling forward and inverse ice-sheet problems
Abstract not provided.
The QCAD Framework for Quantum Device Modeling
Abstract not provided.
An Efficient Parallel Solution to the Wigner-Poisson Equation
Abstract not provided.
Component-Based Scientific Application Development
Over the past few years, we have defined and gone a long ways towards implementing a component-based strategy for building scientific application codes. We have asserted that this approach offers significant advantages over a model of writing project-based application codes. There are now several technical and programmatic successes that validate these claims. Not only are there net benefits to code projects that follow this strategy, but also the most striking gains are for the long-term impact and productivity of our computational science organizations.
Poisson-Schrodinger Solvers in QCAD
Abstract not provided.
Albany
Abstract not provided.
Numerical Bifurcation Methods and their Application to Fluid Dynamics: Analysis beyond Simulation
Proposed for publication in Communications in Computational Physics.
Abstract not provided.
FASTMath Nonlinear Solvers and TIme Integration Tools
Abstract not provided.
Supporting Embedded Algorithms through Template-based Generic Programming
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The QCAD Framework for Quantum Device Modeling
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A Component-Based Strategy for Scientific Application Development
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The QCAD framework for quantum device modeling
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The QCAD framework for quantum device modeling
Computational Electronics (IWCE), 2012 15th International Workshop on
We present the Quantum Computer Aided Design (QCAD) simulator that targets modeling quantum devices, particularly Si double quantum dots (DQDs) developed for quantum computing. The simulator core includes Poisson, Schrodinger, and Configuration Interaction solvers which can be run individually or combined self-consistently. The simulator is built upon Sandia-developed Trilinos and Albany components, and is interfaced with the Dakota optimization tool. It is being developed for seamless integration, high flexibility and throughput, and is intended to be open source. The QCAD tool has been used to simulate a large number of fabricated silicon DQDs and has provided fast feedback for design comparison and optimization.
Optimization of Realistic Silicon Double Quantum Dots through Simulation
Abstract not provided.
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming
Scientific Programming
An approach for incorporating embedded simulation and analysis capabilities in complex simulation codes through template-based generic programming is presented. This approach relies on templating and operator overloading within the C++ language to transform a given calculation into one that can compute a variety of additional quantities that are necessary for many state-of-the-art simulation and analysis algorithms. An approach for incorporating these ideas into complex simulation codes through general graph-based assembly is also presented. These ideas have been implemented within a set of packages in the Trilinos framework and are demonstrated on a simple problem from chemical engineering. © 2012 - IOS Press and the authors. All rights reserved.
The QCAD Framework for Quantum Device Simulation
Abstract not provided.
Semiclassical Poisson and Self-Consistent Poisson-Schrodinger Solvers in QCAD
Abstract not provided.
Embedded Nonlinear Analysis Tools Capability Area Overview
Abstract not provided.
Embedded Algorithms through Template-based Generic Programming
Abstract not provided.
Building Hierarchical Toolchains for Nonlinear Analysis
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