A milestone in quantum CFD: simulating real fluid dynamics on quantum hardware
See how Quanscient and Haiqu ran the first quantum computing fluid dynamics simulation of flow around a solid object - how the quantum lattice Boltzmann method (QLBM) works and what it means for practical quantum advantage.
Classical CFD is running into a performance wall for aerospace, automotive, and maritime applications, and quantum computing offers a scalable path forward.
Quanscient and Haiqu executed the first publicly documented quantum CFD simulation of nonlinear fluid flow interacting with a solid object.
Quanscient's OSSLBM algorithm, a quantum lattice Boltzmann method, combined with Haiqu's circuit optimization and noise mitigation.
A complex, geometry-constrained flow simulation ran successfully on a real IBM quantum processor.
Why classical CFD has become a bottleneck, and how quantum computing offers a scalable alternative for large-scale engineering problems.
How the quantum lattice Boltzmann method works, and how it ran on IBM quantum hardware to simulate nonlinear fluid flow around an obstacle.
What this quantum CFD milestone means for industry R&D teams preparing for practical quantum advantage.
Who should watch
Built for technical teams tracking quantum's real-world timeline.
Designing and validating fluid systems who want to see what quantum hardware can already do.
Working on quantum algorithms or CFD who want the technical detail behind the demonstration.
Evaluating when quantum computing becomes relevant to their R&D roadmap.
About our speakers:
Industry Prof. Valtteri Lahtinen, Chief Scientist and co-founder of Quanscient, leads quantum algorithms research at Quanscient Quantum Labs, one of the most accomplished teams working on quantum algorithms for CFD.
Dr. Maciej Koch-Janusz, Principal Scientist at Haiqu, applies theoretical and numerical tools from quantum condensed matter physics to practical quantum computing. Maciej leads Haiqu's research team, whose work on circuit optimization, compression, and error mitigation was critical to running this geometry-constrained CFD simulation on IBM quantum processors.
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