Quantum Carleman Lattice Boltzmann Simulation of Fluids
Wael Itani, Katepalli R. Sreenivasan, Sauro Succi
TL;DR
This paper introduces a quantum computing algorithm for simulating classical fluids using Carleman linearization of lattice kinetic theory, discussing its potential and limitations for fluid turbulence modeling.
Contribution
It presents a novel quantum algorithm for fluid simulation based on Carleman linearization, bridging quantum computing and classical fluid dynamics.
Findings
Algorithm demonstrates potential for efficient fluid simulation
Discusses limitations in turbulence modeling
Provides pedagogical overview of quantum fluid simulation
Abstract
We present a pedagogical introduction to a quantum computing algorithm for the simulation of classical fluids, based on the Carleman linearization of a second-quantized version of lattice kinetic theory. Prospects and limitations for the case of fluid turbulence are discussed and commented on.
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Computational Physics and Python Applications