Case Study: a large aerospace & defense company achieves 60% airfoil weight reduction with BQP's QIEO solver

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

The large aerospace & defense company faced significant challenges in optimizing airfoil designs, struggling with the computational bottlenecks and algorithmic limitations of conventional methods. These traditional solvers often failed to find a global optimum, converging on suboptimal designs that required extensive resources and delayed development. They turned to vendor BQP and its QIEO solver for a more effective solution.

BQP implemented its Quantum-Inspired Evolutionary Optimization (QIEO) solver, which leverages quantum principles to explore large design spaces efficiently. This approach reduced the required iteration count by 90% and achieved a 60% greater weight reduction in the airfoil structure while maintaining its integrity. The solution provided by BQP resulted in enhanced fuel efficiency, extended aircraft range, and a clear manufacturable design, offering significant cost reductions in design and operations.