Quantum Machine Learning (QML) for Financial Portfolio Optimisation

This Pathway explores the use of a Quantum Approximate Optimisation Algorithm (QAOA) or a Variational Quantum Eigensolver (VQE) on a simulated quantum computer to solve a complex portfolio optimisation problem.

After completing this Pathway, you will be able to:

• Define the gap between classical to quantum computing by gaining direct experience
• Explain to formulate real-world optimisation problems in a quantum framework