QUantum Innovation Center
Welcome to the forefront of quantum computing for complex fluid dynamics at the QUantum Innovation Center (QUIC)! We're breaking new ground by developing a Lattice Boltzmann solver specifically tailored to quantum computation architectures. Harnessing the unique capabilities of quantum hardware, we surpass traditional computational boundaries by implementing our solver to run on quantum computers. At the intersection of quantum mechanics and fluid dynamics, our team together with our partner Altair is pioneering the use of quantum computing to simulate and analyze complex fluid phenomena. By leveraging the principles of quantum computation, we aim to redefine what's possible in computational fluid dynamics, pushing the limits of speed, accuracy, and scalability. We focus on advancing a Lattice-Boltzmann solver tailored for complex fluid phenomena, specifically designed for application on universal quantum computers. We concentrate on creating fully quantum algorithms and hybrid digital-quantum algorithms, which integrate exact numerical procedures within the algorithm or utilize approximations employing variational quantum circuits. The close development with our digital fully differentiable LBM solver TorchLBM and the quantum LBM solver within an extensive software package enables us to optimize potential future hybrid methodologies, wherein classical and quantum computing converges utilizing numerical techniques or machine learning / variational quantum circuit surrogates.
Publications/references:
Wawrzyniak, D., Winter, J. M., Schmidt, S., Indinger, T., Janßen, C., Schramm, U. & Adams, N. A. (2023): A Flexible Quantum Lattice-Boltzmann Algorithm for the 3-D Linear Advection-Diffusion Equation with Spatially and Temporally Variable Velocity Field. 22nd Computational Fluids Conference, Cannes, France.
Wawrzyniak, D., Winter, J. M., Schmidt, S., Indinger, T., Janßen, C., Schramm, U. & Adams, N. A. (2024): Unitary Quantum Algorithm for the Lattice-Boltzmann Method, arXiv:2405.13391 [quant-ph]