A Reproducible D3Q19 Multiple-Relaxation-Time Lattice Boltzmann Benchmark and Quantum-Operator Audit for Forced Wall-Bounded Flow Simulations
Journal article, 2026

Quantum algorithms for flow simulation are advancing rapidly, but reproducible wall-bounded benchmarks with classical reference data are still needed to evaluate future quantum and hybrid quantum-classical solvers. This work presents a forced D3Q19 multiple-relaxation-time (MRT) lattice-Boltzmann method (LBM) benchmark for body-force-driven Poiseuille flow in a three-dimensional channel. The solver combines periodic streamwise and spanwise boundaries, halfway bounce-back walls, moment-space relaxation, and body-force forcing with the half-force velocity correction. The solution is verified against the analytical parabolic profile using relativeĀ šæ2Ā and maximum profile errors, mass conservation, extrapolated wall slip, and wall-normal leakage. A verification study over grid resolution, relaxation time, forcing strength, and initialization demonstrates second-order grid convergence and robust conservation behavior. The verified timestep is then decomposed into quantum-relevant primitives, including streaming, wall reflection, moment transformation, MRT relaxation, equilibrium evaluation, forcing, macroscopic recovery, and measurement. The resulting benchmark connects flow-solver accuracy metrics with operator-level requirements for quantum implementation, providing a compact reference problem for future quantum processing unit (QPU)-assisted, hybrid quantum-classical, and quantum-linear-solver-based computational fluid dynamics (CFD) studies. Performance gains over classical LBM execution are not assessed here.

quantum computing

quantum CFD

quantum technology

lattice Boltzmann method

quantum linear solvers

Computational Fluid Dynamics

Author

Muhammad Idrees Khan

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Huadong Yao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Fluids

23115521 (eISSN)

Vol. 11 7 175

3D Virtual Platform for Digitalization of Holistic Acoustic Environment in Cabs of Heavy-Duty Vehicles (OCTAVE)

Swedish Energy Agency (P2024-01011), 2024-10-01 -- 2027-09-30.

Subject Categories (SSIF 2025)

Fluid Mechanics

Computer Engineering

Computational Mathematics

Other Computer and Information Science

DOI

10.3390/fluids11070175

More information

Created

7/10/2026