Fig. 5: Comparison of classical and estimated quantum results for MO-MAXCUT with m = 4 objective functions. | Nature Computational Science

Fig. 5: Comparison of classical and estimated quantum results for MO-MAXCUT with m = 4 objective functions.

From: Quantum approximate multi-objective optimization

Fig. 5: Comparison of classical and estimated quantum results for MO-MAXCUT with m = 4 objective functions.The alternative text for this image may have been generated using AI.

Mean progress of HVt resulting from five MPS simulations (χ = 20), estimated hardware (HW) for fidelities ranging from 3.71% to 57.75% and single runs of the classical algorithms DCM, DPA-a and ϵ-CM. The shaded area denotes the minimum and maximum performance over the five repetitions of the MPS simulation. The best found solution HVmax is indicated.

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