Quantum Computing in Finance

We hear every day that quantum computers are becoming a reality, offering high-speed solutions to problems in cryptography, medicine, logistics, meteorology, drug design, amongst others. In this course, we illustrate how quantum computing can be successfully applied to financial modelling. We will review step-by-step how to design quantum computing algorithms in Python using Jupyter Notebooks and the IBM Quantum Experience Qiskit. You will learn how to generate random numbers, do Monte Carlo simulations, solve stochastic differential equations, price financial derivatives, model credit risk and conduct portfolio optimizations. All of these using open-source tools.