Case Study: a large commercial and defense company achieves more efficient flight routing with BQP's QIEO solver

BQPhy QIEO Business Impact on Trajectory/Route Optimization for Commercial and Defense Applications

The large commercial and defense company faced significant challenges in flight trajectory optimization. Its existing methods, based on traditional computational algorithms, struggled with complex constraints like air traffic, weather, and fuel efficiency, often resulting in suboptimal routes and increased mission risk. To overcome these limitations, the company turned to BQPhy and its Quantum-Inspired Evolutionary Optimization (QIEO) solver.

By integrating quantum principles, BQPhy's QIEO solution enabled globally optimal pathfinding, successfully navigating multiple constraints to deliver superior results. For a specific application optimizing European airspace, BQPhy's implementation achieved an 18% reduction in CO₂ emissions, a 4% reduction in fuel consumption saving approximately $70,000, and a 1% decrease in total flight time.