Hybrid quantum-classical graph partitioning inside LS-DYNA reduces amortized wall-clock time for large FEA simulations by 5.9-14.6 percent on meshes up to 35 million elements.
Warm-start adaptive- bias quantum approximate optimization algorithm,
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End-to-end performance of quantum-accelerated large-scale linear algebra workflows
Hybrid quantum-classical graph partitioning inside LS-DYNA reduces amortized wall-clock time for large FEA simulations by 5.9-14.6 percent on meshes up to 35 million elements.