IonQ and Synopsys Report Up to 14.6% Faster Engineering Simulations

Insider Brief

• IonQ and Synopsys reported quantum-enhanced simulation workflows that reduced runtime by up to 14.6% across several industrial engineering models.
• The research integrated a quantum algorithm into Synopsys’ Ansys LS-DYNA software and tested models with meshes of up to 35 million data points using simulations of up to 150 qubits.
• The work was physically validated on IonQ’s 36-qubit Forte system and received the 1st Place Best Paper Award at IEEE Quantum Week 2026.

PRESS RELEASE — IonQ (NYSE: IONQ), the world’s leading full-stack quantum platform and foundry, today detailed research conducted with Synopsys. The publication shows early results that quantum algorithms integrated into mainstream engineering software can accelerate complex industrial design by up to 14.6%. The research illustrates hybrid quantum computing can address major computational bottlenecks for classical supercomputers. It also earned a 1st Place Best Paper Award at IEEE Quantum Week 2026 in Toronto.

Companies designing products—from vehicles to sensors to nuclear reactors—rely on simulation to predict product performance against true-to-reality physics. Larger scale simulations, such as those used for virtual crash tests and aerodynamic analysis, can require significant compute resources. Those resources are necessary to solve large systems of equations containing hundreds of millions of variables. Depending on the simulation setup, standard computers may generate extra calculations that consume memory and extend processing times.