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EPJ Quantum Technology
Figure 11 | EPJ Quantum Technology

Figure 11

From: Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles

Figure 11

Cost and performance of different numerical optimization methods on Max-Cut (SC1), for graphs with size \(N= 10\). Differential Evolution (DE) corresponds to a global optimization algorithm, inspired by the INTERP method. While yielding results very close to Nelder–Mead, it does so by requiring very little number of function evaluations. Building optimization processes such as DE that require little function evaluations is key in the NISQ era as it ensures quicker performances on unstable devices

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