Physics

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PHYSICS BASED SOLVER

Quantum Powered Physics Based Solver for Model Based System Engineering
(MBSE)

Gain a strategic advantage
with BQPhy®

COMMERCIAL ACCESS

Optimization

RESEARCH ACCESS

Physics Based

RESEARCH ACCESS

Data Driven

BQPhy®’s hybrid quantum approach to
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

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

Tackles complex problems previously intractable.

Delivers enhanced accuracy at scale

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

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APPLICATIONS

Solutions to complex physics
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

Demonstration of Scalability and Accuracy of Variational Quantum Linear Solver for Computational Fluid Dynamics

Read the paper

Achieving 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

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