Quantum Lattice Boltzmann Method based on linear equilibrium distribution functions

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Authors: Zhengliang Liu, Benzi John, David R. Emerson
Cited by: 0
References: 20

Abstract

In this paper, we propose a complete formulation of the Lattice Boltzmann Method adapted for quantum computing. The classical collision, based on linear equilibrium distribution functions and streaming steps, are reformulated as linear algebraic operations. The inherently non-unitary collision operator is decomposed using Singular Value Decomposition and the Linear Combination of Unitaries technique. Bounce-back boundary conditions are incorporated directly into the collision matrix, while the streaming step is realized through conditional unitary shift operations on spatial registers, controlled by lattice velocity indices encoded in the distribution function register. This formulation ensures that the streaming step remains purely unitary. The resulting quantum circuit is implemented using Qiskit and validated against Couette flow and Poiseuille flow benchmarks. The simulation accurately reproduces the expected velocity profile, with relative errors below 1 0 − 4 . This work establishes a foundational framework for quantum fluid solvers and provides a pathway toward quantum computational fluid dynamics.

Fields of Study & Subjects

Lattice Boltzmann Simulation Studies Quantum Computing Algorithms and Architecture Gas Dynamics and Kinetic Theory

Publication details

Journal / source
Frontiers in Mechanical Engineering
Volume
11
Publication date
16 January 2026
Language
EN