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This research demonstrates a practical hybrid approach where approximate quantum solvers can effectively integrate into classical computational fluid dynamics workflows, significantly reducing resource demands for complex engineering simulations like those used in aerospace design. The study underscores the viability of near-term quantum applications by proving that imperfect quantum components do not necessarily compromise the convergence or utility of high-fidelity CFD models.
Classiq and Rolls-Royce Explore Quantum Computing for CFD Simulations
Insider Brief PRESS RELEASE — Classiq, the leading quantum computing software company, and Rolls-Royce today published a new technical blog describing work that examines how quantum computing methods could support computational fluid dynamics (CFD), one of the most demanding areas of engineering simulation. CFD is used across industries such as aerospace, energy, automotive and advanced manufacturing to […]
Classiq and Rolls-Royce published research exploring how quantum linear solvers could be integrated into computational fluid dynamics (CFD) workflows used in engineering simulations. The study found that a hybrid classical-quantum CFD workflow could still converge using an approximate quantum solver while significantly reducing quantum resource requirements. The work highlights the importance of evaluating quantum algorithms within complete engineering…
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