Our world is shaped by the movement of fluids like air and water. Whether it’s the lift that allows planes to fly, the drag that slows vehicles down, or the airflow that cools electronics, understanding fluid behavior is essential for designing safer, faster, and more efficient technologies.
To predict these flows, scientists and engineers use Computational Fluid Dynamics (CFD)—a field that transforms the Navier-Stokes equations, the mathematical laws of fluid motion, into powerful computer simulations.
These equations are so complex that even the fastest supercomputers struggle to solve them accurately for real-world scenarios. Capturing the chaotic, swirling patterns of turbulence at full accuracy quickly becomes unmanageable due to massive memory and time requirements.
QubitSolve is tackling this challenge with a quantum computing solution for CFD. Quantum computers use qubits instead of classical bits. Qubits can exist in multiple states simultaneously, enabling vast amounts of data to be stored and processed in parallel—opening the door to solving problems classical computers can’t handle.
We’ve successfully developed and tested a prototype of our quantum CFD software on real quantum hardware.
In the chart above, the green line represents the expected scaling of our quantum algorithm, while the gold line shows how classical CFD scales.
Our early tests proved the concept—but also revealed that the current crossover point, where quantum performance surpasses classical, is still too large for practical, industrial use.
Now, we’re engineering the next breakthrough: shrinking the crossover point so quantum CFD can power the complex simulations that industries truly need—hypersonic flight, advanced propulsion, and next-gen energy systems.
Our target: reach this practical crossover point in 2027, transforming quantum CFD from a promising prototype into a game-changing tool for engineers worldwide.
QubitSolve is redefining the boundaries of computational science, making accurate, large-scale CFD simulations achievable and practical for industries that depend on them.
The pressure distribution on the fuselage and the flow distribution on the right wing are shown.