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Quantum Computation of Fluid Dynamics
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Studies of strongly nonlinear dynamical systems such as turbulent flows call for superior computational prowess. With the advent of quantum computing, a plethora of quantum algorithms have demonstrated, both theoretically and experimentally, more powerful computational possibilities than their classical counterparts. Starting with a brief introduction to quantum computing, we will distill a few key tools and algorithms from the huge spectrum of methods available, and evaluate possible approaches of quantum computing in fluid dynamics.
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Cited by 2 Pith papers
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Adaptive Lattice Gas Algorithm: Classical and Quantum implementations
A 1D adaptive integer lattice gas with velocity-dependent collision fractions reproduces lattice Boltzmann equilibrium and cosine-wave dynamics, and can be encoded in log(N)+3 qubits with a linear collision operator.
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A multi-ansatz variational quantum solver for compressible flows
A multi-ansatz variational quantum linear solver, tested on a quantum simulator, reproduces classical 1D shock-tube solutions and benefits from additional ansatz branches and domain decomposition.
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