  The quantum basin hopping algorithm for continuous global optimisation
combines a local search with Grover's algorithm, and can locate the global
optimum using effort proportional to the square root of the number of basins.
This article establishes that Jordan's quantum gradient estimation method can
be incorporated into the quantum basin hopper, providing an extra acceleration
proportional to the domain dimension.
