Quantum Finance
Finance is one of the most practical entry points for quantum computing. The videos in this section show how portfolio optimization, option pricing, and fraud detection can be formulated as quantum problems.
Each video is supported by notebooks so you can follow the code, understand the algorithms, and evaluate where quantum may outperform classical methods.
Finance Videos
QAOA Portfolio Optimization
Explore quantum portfolio optimization: QAOA, real-world finance, and the future beyond classical methods — all explained step by step supported by a Python notebook.
Quantum Monte Carlo for Option Pricing
Explore how Quantum Monte Carlo with QAE can achieve a quadratic speed-up against classical simulations in pricing financial options — featuring live Python code and real-world insights.
QML for Fraud Detection
Discover how Quantum Machine Learning powers fraud detection in finance — see QNNs in action with real transaction data, hands-on Python code, and practical performance analysis. The approach used here is the very same as used by HSBC for their bond trading use case. See also the coverage below. QML is the most promising option today for quantum computing in finance.