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Multiphysics simulation

Unlocking Unprecedented Accuracy for high fidelity Complex Fluid Flow Simulations

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Challenges

Growing complexity of Partial Differential Equations (PDEs) in CFD, driven by the demand for high-fidelity simulations and real-time solutions, poses a significant challenge for classical computing, as numerical approximations create large linear systems that become computationally intractable at high resolutions

Results

BQPhy’s approach leverages Quantum Linear Solver Algorithms (QLSAs) and variational algorithms on HPCs over coming mesh resolution challenges.
This enables the solution of CFD-relevant problems on a hybrid classical framework.
BQPhy’s Hybrid Quantum-Classical Finite Method (HQCFM) achieved highly accurate fluid flow simulations, with errors on the order of 10^-5 compared to traditional methods.

HQCFM maintained this level of numerical accuracy while scaling to much larger problem sizes, demonstrating its potential for complex simulations.
This scalability suggests significant resource reduction, potentially solving problems requiring millions of traditional supercomputer cores with only tens of qubits.

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Multiphysics simulation

Unlocking Unprecedented Accuracy for high fidelity Complex Fluid Flow Simulations

BQP’s hybrid quantum-classical methods achieve 10⁻⁵ accuracy and scale to complex, high-resolution simulations

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HQCFM improves large scale simulation