  We study the optimal placement of wind turbines within a windfarm to maximize
the power produced by mapping the system to a Quadratic Unconstrained Binary
Optimisation (QUBO) problem. We investigate solving the resulting QUBO problem
using the Variational Quantum Eigensolver (VQE) on a quantum computer simulator
and compare the results to those from two classical optimisation methods:
simulated annealing and the Gurobi solver. The maximum grid size we study is 4
$\times$ 4, which requires 16 qubits.
