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Gain a strategic advantage
with BQPhy®
with BQPhy®
Gain a strategic advantage
with BQPhy®
with BQPhy®
COMMERCIAL ACCESS
Optimization
Powered by Quantum-Inspired Techniques
RESEARCH ACCESS
Physics Based
Powered by Hybrid Quantum-Classical Techniques
RESEARCH ACCESS
Data Driven
Powered by Hybrid Quantum-Classical Techniques
BQPhy®’s hybrid quantum approach to
physics based simulations
physics based simulations
BQPhy® utilizes Hybrid Quantum-Classical Algorithms to enhance physics-based simulations in Model-Based System Engineering (MBSE). By integrating quantum and classical methods, our solver improves system modeling and multi-physics simulations with greater accuracy and efficiency.
> Higher Precision
> Efficient Multi-Physics Modeling
> Scalable & Fast
> Higher Precision
> Efficient Multi-Physics Modeling
> Scalable & Fast
BQPhy®’s Hybrid Quantum-Classical Finite Element Method (HQCFM) accelerates complex system simulations, which traditionally demand significant computational resources and time.
Push limits of classical hardware
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Tackles complex problems previously intractable.
Delivers enhanced accuracy at scale
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Escaping local minima to find more optimal solutions
Optimizing trainable parameters in machine learning models
Machine Learning approaches like QA-PINN for CFD
Reduce training parameters
Improved Generalizability
Higher accuracy than classical PINNS
Escaping local minima to find more optimal solutions
Optimizing trainable parameters in machine learning models
Get Started
APPLICATIONS
Solutions to complex physics
across product lifecycle
across product lifecycle
System Simulations
BQPhy® enables MBSE with its multi physics capabilities that capture intricate system behaviour, allowing for a more realistic representation of real-world scenarios.
Structural impact analysis
Accurate results for structural impact with different load conditions with mesh size of 2658 nodes using 16 Qubits
Thermal Analysis of heat plate exchanger
BQPhy’s HQCFE enables precise thermal modeling, improving scalability and reducing computational costs.
Large Scale CFD
In defense and aerospace, mission-critical applications like jet engine and hypersonic vehicle design require large-scale CFD analysis. BQPhy’s Quantum-enhanced CFD allows parallelization, solving these intricate problems with improved accuracy and speed
Simulating Non-Linear Coupled Equations with Quantum Solvers
BQPhy’s Physics-based solver is highly accurate at scale for solving large-scale fluid flow problems not possible with classical approaches at present
Meshless CFD
BQPhy's quantum-powered, meshless CFD solver simulates turbulent fluid flow for complex applications. This meshless approach enables accurate, efficient simulations, paving the way for advanced digital mission engineering and analysis.
Fluid Flow Simulation:
BQPhy's QA-PINN outperforms traditional CFD solvers in modeling turbulent flows for complex aerospace geometries, offering higher accuracy, scalability, and efficiency.
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RESEARCH
BQP pioneers quantum-inspired algorithms
BQP’s research to unlock innovations by solving large scale, multiphysics CFD
problems
problems
Demonstration of Scalability and Accuracy of Variational Quantum Linear Solver for Computational Fluid Dynamics
Read the paperAchieving computational gains with HQCFM approach
Coming Soon
Resource efficient Algorithms for large scale CFD
Coming Soon
Quantum Inspired Optimization for MDO problem
Read the paper
Collaborate for research
Frequently asked questions
What is the BQPhy® Physics-Based Solver?
What makes HQCFM unique?
What types of problems can the Physics-Based Solver address?
How does it aid ML model compression?
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