Time-marching representation based quantum algorithms for the Lattice Boltzmann model of the advection-diffusion equation
Yuan He, Yuan Yu, Yue Yu

TL;DR
This paper presents a new quantum algorithm framework for simulating the Lattice Boltzmann Method applied to advection-diffusion equations, enabling fully quantum, measurement-free simulations with detailed complexity analysis.
Contribution
It introduces a systematic, measurement-free quantum algorithm framework for Lattice Boltzmann simulations of advection-diffusion equations, including two distinct approaches and complexity analysis.
Findings
Both quantum algorithms achieve similar asymptotic complexities.
Numerical simulations validate the algorithms on benchmark problems.
The framework eliminates classical measurement at each step, enabling fully quantum simulation.
Abstract
This article introduces a novel framework for developing quantum algorithms for the Lattice Boltzmann Method (LBM) applied to the advection-diffusion equation. We formulate the collision-streaming evolution of the LBM as a compact time-marching scheme and rigorously establish its stability under low Mach number conditions. This unified formulation eliminates the need for classical measurement at each time step, enabling a systematic and fully quantum implementation. Building upon this representation, we investigate two distinct quantum algorithmic approaches. The first is a time-marching quantum algorithm realized through sequential evolution operators, for which we provide a detailed implementation-including block-encoding and dilating unitarization-along with a full complexity analysis. The second employs a quantum linear systems algorithm, which encodes the entire time evolution into…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Model Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics
