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

BQPhy’s QIO solver delivers up to 3X faster convergence than Classical Algorithms for dynamic airport gate assignments, while consistently producing conflict-free schedules.

BQPhy's QCFD algorithm, Classiq’s compiler and NVIDIA GPU simulators enabled 100× circuit-depth reduction and successful scaling to the 2D Poisson equation for quantum-accelerated PDE solving.

QA-PINN achieved a 20% parameter reduction and cut training time from 85 hours to 3.5 hours using NVIDIA’s CUDA-Q simulator—enabling faster, scalable CFD experimentation.