Quantum software synthesis provider Classiq Technologies and aerospace engineering firm Rolls-Royce plc have demonstrated a hybrid quantum-classical computing framework that embeds a Quantum Linear Solver (QLS) directly into an industrial Computational Fluid Dynamics (CFD) pipeline. Developed to optimize the intensive simulation of aerodynamic flows inside jet engine components, the partnership evaluates how the inherent approximations of near-term fault-tolerant quantum algorithms affect the macro-level convergence of nonlinear fluid equations. By replacing the core linear step of an iterative CFD loop with an algorithmic quantum matrix inversion module, the joint engineering team shifted the focus of quantum fluid dynamics from abstract asymptotic complexity [...]

Searching for optimal Quantum Error Correction (QEC) codes is an incredibly time-consuming and computationally demanding bottleneck due to the vast space of potential algebraic…

Classiq and Rolls-Royce tested quantum linear solvers in CFD workflows, showing hybrid quantum-classical simulations can converge effectively.