We study quantum annealing for combinatorial optimization with Hamiltonian where is diagonal, is the equal superposition state projector and the annealing parameter. We analytically compute the minimal spectral gap as with the total number of states and its location . We show that quantum speed-up requires an annealing schedule which demands a precise knowledge of , which can be computed only if the density of states of the optimization problem is known. However, in general the density of states is intractable to compute, making quadratic speed-up unfeasible for any practical combinatoric optimization problems. We conjecture that it is likely that this negative result also applies for any other instance independent transverse Hamiltonians such as .

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