Airfoil Shape Optimization Using Surrogate model & QIO

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

BQP sponsors SAE Aerothon 2025

•

BQP Raises $5M Oversubscribed Seed Round

•

25X speed-up achieved with BQPhy’s QA-PINN for accelerated CFD training

•

BQP × Classiq × NVIDIA set a new milestone in QCFD with 100X circuit compression

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Challenges

Aerodynamic optimization requires repeated evaluation of drag coefficient (Cd)
CFD or experimental evaluations are computationally expensive
Design space defined by multiple control parameters with tight bounds (±2.5%)
Optimization landscape is non-convex and sensitive to initialization

Results

High compute cost with slow and unstable convergence in classical workflows.

Airfoil Optimization Performance

Final Fitness (Cd):
- QIO: 0.014341
- GA: 0.014342
Function Evaluations:
- QIO: 990
- GA: 2053

‍

Design Outcome

Optimized airfoil shape shows improved surface characteristics
QIO achieves comparable or better performance with significantly lower compute
→ ~2× fewer evaluations with QIO

‍

Validation on Benchmark Function

Tested on Goldstein–Price function (non-convex benchmark):

Global Minimum:
- Reference: 3.0
- QIO: 2.99995
- GA: 2.99989
Design Variable Accuracy:
- QIO closer to optimal solution

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Airfoil Shape Optimization Using Surrogate model & QIO

Results

Airfoil Optimization Performance

Design Outcome

Validation on Benchmark Function

Accelerating Aerodynamic Optimization with Surrogate modelling & QIO