Quantum Optimisation for Finance and Logistics

This pathway covers how to master portfolio, routing, and scheduling optimisation using quantum solvers; apply QAOA(Quantum Approximate Optimisation Algorithm)/VQE (Variational Quantum Eigensolver) with real data, compare gate-model and annealing, and evaluate speed-quality-cost trade-offs.

After completing this Pathway, you will be able to:

• Explain how to optimise portfolios, routing, and scheduling using quantum algorithms effectively
• Discuss quantum versus classical approaches for speed, quality, and cost trade-offs in practical optimisation scenarios