Quantum computing for simulation of fluid dynamics
arXiv:2404.01302 · doi:10.5772/intechopen.1005242
Abstract
We present a pedagogical introduction to a series of quantum computing algorithms for the simulation of classical fluids, with special emphasis on the Carleman-Lattice Boltzmann method.
arXiv comment11 pages. arXiv admin note: substantial text overlap with arXiv:2307.05157
References in corpus (18)
- Quantum Computing in the NISQ era and beyond
- Elementary gates for quantum computation
- Quantum algorithm for solving linear systems of equations
- Quantum Amplitude Amplification and Estimation
- Efficient quantum algorithms for simulating sparse Hamiltonians
- Tensor networks for complex quantum systems
- The Future of Quantum Computing with Superconducting Qubits
- Variational quantum algorithms for nonlinear problems
- Efficient quantum algorithm for dissipative nonlinear differential equations
- Lattice Boltzmann Equation for Quantum Mechanics
- A Quantum Inspired Approach to Exploit Turbulence Structures
- Koopman-von Neumann Approach to Quantum Simulation of Nonlinear Classical Dynamics
- Towards Exascale Lattice Boltzmann computing
- Quantum Simulator for Transport Phenomena in Fluid Flows
- Quantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy
- Mesoscopic simulations at the physics-chemistry-biology interface
- Lattice Boltzmann-Carleman quantum algorithm and circuit for fluid flows at moderate Reynolds number
- Quantum Computing for Fusion Energy Science Applications