Fig. 3: Energy as a function of 200 iteration steps comparing QAOA (Q = 2, Q = 10) with PCQO (Q = 5) for a N = 3 UKP case. | Communications Physics

Fig. 3: Energy as a function of 200 iteration steps comparing QAOA (Q = 2, Q = 10) with PCQO (Q = 5) for a N = 3 UKP case.

From: Photonic counterdiabatic quantum optimization algorithm

Fig. 3

a The best convergence with the local cost function, b the mean of 5 randomly initialized parameters with the local cost function, and c mean energies of 20 random initializations for the global cost function are shown. Different markers depict the energy convergence for different algorithms and the green solid line shows the exact energy for the solution. Shaded regions show standard error.

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