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Figure 8 | EPJ Quantum Technology

Figure 8

From: Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm

Figure 8

Empirical cumulative distribution functions of ratios to optimal angles’ for all depths and number of clusters. A lower curve for an approach means better results when using it aggregating depths and number of clusters. We see for MaxCut (a) and QUBO problems (b) that instance features achieve better results, VGAE being competitive with instance features. When using 3 clusters, using VGAE on MaxCut instance and instance features for QUBOs lead to better ratios

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