Insider Brief
- IonQ and Ansys demonstrated that a hybrid quantum-classical algorithm, when simulated, can outperform classical methods in engineering simulations, achieving up to 12% faster processing in blood pump design tests.
- Ansys’ LS-DYNA application simulated blood pump designs with up to 2.6 million vertices and 40 million edges using a hybrid quantum-classical workflow, while IonQ Forte was used separately to validate the quantum algorithm on smaller-scale problem instances.
- The collaboration could point the way to the role of quantum computing in industrial applications, with potential benefits for automotive safety, logistics, job scheduling, and financial optimization.
PRESS RELEASE — IonQ (NYSE: IONQ), a leader in the quantum computing and networking industries, today announced a groundbreaking milestone with Ansys, a leader in the Computer-Aided Engineering (CAE) industry, that shows quantum computing outperforming classical computing when designing important life-saving medical devices.
One of the first Ansys LS-DYNA applications explored with IonQ simulates blood pump dynamics to optimize design and improve efficiency by analyzing fluid interactions within medical devices. By running the application on IonQ’s quantum computers, Ansys was able to speed processing performance by up to 12 percent compared to classical computing in the tests.
“This demonstration is a significant achievement for IonQ and the quantum computing industry as a whole,” said Niccolo de Masi, President and CEO, IonQ. “We’re showcasing one of the first cases ever where quantum computing is outperforming key classical methods, demonstrating real-world improvements for practical applications that will grow as our quantum hardware advances.”
By leveraging IonQ’s production quantum computer – IonQ Forte – the hybrid workflow for blood pump design successfully handled up to 2.6 million vertices and 40 million edges – demonstrating a significant improvement in time to solve complex simulations.
The collaboration between IonQ and Ansys underscores the important role of quantum computing in improving mainstream engineering workflows, showcasing how quantum-accelerated high-performance computing can deliver real-world impact today.
Underlying this achievement is a versatile quantum optimization method pioneered by IonQ, which can also be applied to other industrial applications such as automotive safety, logistics & supply chain optimization, job shop scheduling, portfolio optimization, and many more.
For more information, please visit ArXiv for the full research paper, and www.ionq.com.
