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From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Muhammad Idrees Khan*, Hua-Dong Yao

Department of Mechanical Engineering, Chalmers University of Technology, Gothenburg, Sweden

* Corresponding Author: Muhammad Idrees Khan. Email: email

Computer Modeling in Engineering & Sciences 2026, 148(2), 2 https://doi.org/10.32604/cmes.2026.087251

Abstract

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural mesoscopic route because their collision–streaming structure can be decomposed into algorithmic blocks. This paper reviews QLBM and related hybrid quantum–classical fluid approaches from an engineering computational fluid dynamics (CFD) perspective, emphasizing physical scope, boundary realism, nonlinear collision treatment, measurement cost, hardware assumptions, and comparison with optimized classical baselines. The discussion is connected to computational aeroacoustics (CAA), where practical workflows already separate source generation, acoustic propagation, and design loops, creating possible insertion points for selective quantum or hybrid acceleration. As a concrete classical reference problem, we also develop a three-dimensional, 19-velocity (D3Q19) multiple-relaxation-time (MRT) lattice Boltzmann method (LBM) acoustic benchmark. In this benchmark, harmonic monopole, dipole, and quadrupole sources are imposed through an additive particle source term, and the computed fields are validated against a D3Q19 MRT-specific Chapman–Enskog macroscopic reference derived from the implemented collision model and source moments using axial waveforms and far-field directivity. The same benchmark is then mapped to an illustrative QLBM architecture using Carleman lifting, linear combination of unitaries (LCU) or block encoding, conditional streaming, and acoustic readout. The resulting roadmap argues that near- and mid-term quantum contributions to aeroacoustics are more likely to appear through targeted hybrid kernels and benchmarked mesoscopic subproblems, rather than replacing mature industrial CFD/CAA pipelines.

Keywords

Quantum lattice Boltzmann method; quantum computational fluid dynamics; computational aeroacoustics; lattice Boltzmann method; hybrid quantum–classical algorithms; multiple-relaxation-time LBM; acoustic multipole sources; Carleman lifting

Cite This Article

APA Style
Khan, M.I., Yao, H. (2026). From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations. Computer Modeling in Engineering & Sciences, 148(2), 2. https://doi.org/10.32604/cmes.2026.087251
Vancouver Style
Khan MI, Yao H. From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations. Comput Model Eng Sci. 2026;148(2):2. https://doi.org/10.32604/cmes.2026.087251
IEEE Style
M. I. Khan and H. Yao, “From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations,” Comput. Model. Eng. Sci., vol. 148, no. 2, pp. 2, 2026. https://doi.org/10.32604/cmes.2026.087251



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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