Quantum-Assisted PINNs for Faster Training and Reduced Costs

Achieved high-accuracy drag prediction with R² = 0.996 and improved design convergence|| Faster exploration • Reduced evaluation cost • Stable optimization

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.