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Results

Optimization Solver

BQPhy® achieved 6% more weight reductions of airfoils without compromising strength

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Challenges

Aerospace prioritizes lightweight, strong designs for improved performance and cost.
Complex wing airfoil optimization can involve 70,000+ design variables, overwhelming traditional methods.
Classical optimization struggles with complex designs, geometries and numerous variables.

Results

BQPhy’s Optimization solver powered by QIEO algorithms achieves 6% more weight reduction compared to classical methods

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Converges to solution in fewer iterations (upto 90% fewer iterations compared to Genetic Algorithms) resulting in compute costs and time savings

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QIEO improves Optimization over classical GA

More weight reduction

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90%

Fewer iterations

Lesser computing resources & Time

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