Quanscient and Haiqu have announced a new quantum computing algorithm for computational fluid dynamics (CFD), a field used to simulate how air and liquids move around objects such as aircraft, vehicles, and industrial equipment. The companies developed an algorithm based on the One-Step Simplified Lattice Boltzmann Method (OSSLBM), which is designed to lower the number of qubits and quantum gate operations needed for fluid simulations.
As part of the demonstration, the teams ran a 15-step nonlinear fluid flow simulation around a solid obstacle on IBM’s 156-qubit Heron R3 quantum processor. The experiment combined nonlinear flow modelling, embedded geometry handling, and iterative time-stepping on real quantum hardware — capabilities that have largely remained limited in previous quantum CFD demonstrations. Haiqu also applied circuit optimisation and error mitigation techniques to support execution on current-generation quantum systems, with the work intended to contribute toward future large-scale engineering and industrial simulation use cases.
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Image courtesy: Quanscient