Fig. 18: Plot depicting the fraction of the baseline R99 achieved when optimizing for expected energy with no shot noise (red) versus optimizing for R99 (blue).
From: A benchmarking study of quantum algorithms for combinatorial optimization

Baseline R99 (black) is given by the cubic parameter schedule, as described in the Results section. Even when shot noise is absent, optimizing for expected energy can increase the R99 about a third of the time, as is evidenced by the fact that a third of the red points are above the black line. We performed this optimization using 100 function evaluations using the Nelder–Mead method, and due to imperfect optimization, a few blue points landed above the red curve. The x-axis is the graph instance number from 0 to 199, where graphs have been sorted according to the y-value of the red point.