A hybrid quantum algorithm jointly developed by IonQ, Synopsys, and NVIDIA has delivered speedups of up to 14.6% in computer-aided engineering (CAE) simulations by optimizing matrix reordering in industrial design workflows. The research demonstrates that the quantum algorithm, integrated into Ansys LS-DYNA software used in the automotive and aerospace sectors, significantly reduces HPC computing costs and energy consumption in structural and fluid dynamics simulations involving millions of variables.
IonQ and Synopsys Accelerate Engineering Simulations by 14.6% with Trapped-Ion Hardware
Trapped-ion quantum processors accelerate classical HPC work in industrial finite-element simulations through matrix optimization.