Figure 9From: Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization AlgorithmEmpirical cumulative distribution functions of ratios to optimal angles per method and depth. The lower the curve, the better the method. In most cases, the curve corresponding to instance features was lower (except for QUBOs (b) at \(p=1\), and VGAE’s curve was more competitive at \(p=2\) for MaxCut (a)). This was also the case when using 3 clustersBack to article page