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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BQPhy® QuantumNOW™ Practical Handbook
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Why engineers trust BQPhy®
Peer-reviewed quantum-inspired algorithms
Compatible with CUDA, ROCm & hybrid stacks
Trusted by Fortune 500 engineering teams
The definitive guide to quantum-inspired engineering workflows. Get more from your existing GPU stack while building tomorrow’s quantum advantage.
Quantum-inspired algorithms for real GPU workloads
Step-by-step migration to hybrid quantum workflows
Performance benchmarks vs classical solvers
BQPhy QuantumNOW integration playbook
QuantumNOW™ Practical Handbook
BQPhy® Engineering Team
Results
Data Driven solver
Data Driven solver
Quantum-Assisted PINNs for Faster Training and Reduced Costs
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Challenges
Machine Learning for solving PDEs is limited by:
Generalizability: Testing for multiple conditions for the same geometry without retraining the entire model)
Training efficiency for simulating transient, incompressible, viscous, non-linear flows
Results
The data-driven solver addressed complex fluid flow PDEs by enhancing a classical Physics Informed Neural Network (PINN) with quantum layers.
Each QA-PINN (2, 3, and 5-qubit) uses Quantum gate layers with alternating full entanglement, combining quantum and classical hidden layers, with input (x and t) and output (u) layers.
Optimized Airline Gate Allocation for Resilient Airport Operations
BQPhy’s QIO solver delivers up to 3X faster convergence than Classical Algorithms for dynamic airport gate assignments, while consistently producing conflict-free schedules.