IonQ and Synopsys Accelerate CAE Computer-Aided Engineering Workloads by 14.6% via Trapped-Ion Hardware

IonQ, Synopsys, and NVIDIA have successfully demonstrated quantum-accelerated performance gains in large-scale Computer-Aided Engineering (CAE) workflows, reducing total execution time by up to 14.6%.

IonQ and Synopsys Accelerate CAE Computer-Aided Engineering Workloads by 14.6% via Trapped-Ion Hardware

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IonQ, Synopsys, and NVIDIA have successfully demonstrated quantum-accelerated performance gains in large-scale Computer-Aided Engineering (CAE) workflows, reducing total execution time by up to 14.6%.

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IonQ, Synopsys, and NVIDIA have successfully demonstrated quantum-accelerated performance gains in large-scale Computer-Aided Engineering (CAE) workflows, reducing total execution time by up to 14.6%.

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