Performance evaluation of variational quantum eigensolver and quantum dynamics algorithms on the advection-diffusion equation

Near-term quantum algorithms are a promising route to solving partial differential equations, but gauging their true potential requires separating algorithmic performance from sampling and hardware noise. We benchmark a ground-state variational quantum eigensolver (VQE), cast as a variational quantu