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 inventory management;
– 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.
Visit the individual use case pages to find their published results – deliverables and publications.