Machine Learning & optimisation

Machine Learning & optimisation

This group of use cases addresses a wide variety of industries, such as energy, oil & gas and finance. They have one thing in common: some of their activities can benefit from Quantum-enhanced machine learning and optimization methods:

– quantum reinforcement learning for optimal hydrocarbon well planning;
– QAOA-type algorithms for mesh segmentation problems and smart-charging optimisation;
– various QML, optimisation and quantum Monte-Carlo methods in finance, such as Option pricing, Value-at-Risk estimation, etc.

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