Aerodynamic flows are governed by partial differential equations, and solving them at scale still pushes today's HPC to its limits. That's the problem Airbus brought to the Global Quantum + AI Challenge: more efficient quantum PDE solvers for predictive aerodynamic modeling, where current methods still rely on costly wind tunnel testing at extreme acceleration and Mach conditions. 81 applicants entered the track, 14.5% of Airbus-track registrants. Submissions are now under review, with finalists moving into Phase 2. #QuantumComputing #Aerospace #GlobalQuantumAIChallenge
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Aerodynamic flows are governed by partial differential equations, and solving them at scale still pushes today's HPC to its limits. That's the problem Airbus brought to the Global Quantum + AI Challenge: more efficient quantum PDE solvers for predictive aerody
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