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IonQ and Synopsys Accelerate CAE Computer-Aided Engineering Workloads

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%. Their joint research, awarded 1st Place Best Paper at IEEE Quantum Week 2026,…

Source: Quantum Computing Report · Opens in new tab