Quantum Computing in Green Energy Production

Addressing the world’s climate emergency is an uphill battle, requiring a multifaceted approach including optimal deployment of green-energy alternatives.

Such undertakings often involve computationally-expensive optimisation of black-box models in a continuous parameter space. They observe good performance on the D-Wave 2000Q QPU – even using default settings – and higher sensitivity of performance to number of samples and annealing time for the Advantage QPU.

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