4 papers
Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
Harish Ramachandran, Björn Kimpel, Thomas Paula +3
Compressible multiphase flows involving shocks and material interfaces arise in applications such as bubble collapse and droplet breakup, where strong nonlinear interactions produc…
A Quantum-Classical Surrogate Model for the Collision Operator of the Lattice Boltzmann Method
Lukas C. Birk, David M. Wawrzyniak, Josef M. Winter +4
We introduce a hybrid approach utilising a quantum machine learning surrogate model to approximate the non-linear collision dynamics of the LBM. It effectively offloads the non-uni…
Hybrid Fourier Neural Operator-Lattice Boltzmann Method
Alexandra Junk, Josef M. Winter, Meike Tütken +2
We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compres…
Dynamic Circuits for the Quantum Lattice-Boltzmann Method
David Wawrzyniak, Josef Winter, Steffen Schmidt +4
We propose a quantum algorithm for the linear advection-diffusion equation (ADE) Lattice-Boltzmann method (LBM) that leverages dynamic circuits. Dynamic quantum circuits allow for…