by Miriam Goldack, Yosi Atia, Ori Alberton at al.
A focused study on quantum algorithms for Computational Fluid Dynamics (CFD), addressing the challenge of efficiently extracting meaningful results from quantum simulations. The work introduces methods for directly computing statistical properties of velocity fields – such as moments and structure functions – from parameterized quantum circuits, avoiding the need for full state tomography.
Demonstrated on 1D fluid dynamics problems, the approach shows how quantum systems can represent and process complex spatial data with minimal qubits. Using Qedma’s QESEM error mitigation software, the results achieve high accuracy on current quantum hardware, highlighting the potential of error-mitigated quantum computing for practical scientific applications.
