Fig. 1: Advantage_system4.1 processor results showing the optimal solution sampling rate out of the number of anneals used, for 100 different random QUBO instances, as a function of log-scale annealing time. | npj Unconventional Computing

Fig. 1: Advantage_system4.1 processor results showing the optimal solution sampling rate out of the number of anneals used, for 100 different random QUBO instances, as a function of log-scale annealing time.

From: Increasing the hardness of posiform planting using random QUBOs for programmable quantum annealer benchmarking

Fig. 1

Columns show QUBOs with coefficients from lin2 (left) and lin20 (right). Rows show results for QUBOs constructed with 128 disjoint random QUBOs of size either 43 or 44 variables (first row), 64 disjoint random QUBOs of size either 87 or 88 variables (second row), 32 disjoint random QUBOs of size either 175 or 176 variables (third row), 16 disjoint random QUBOs of size either 351 or 352 variables (fourth row), and 8 disjoint random QUBOs of size either 703 or 704 variables (fifth row).

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