About track
Option pricing is an important problem in finance. The goal of this prompt is to explore how quantum circuits can be used to price options either using a quantum random walk or a quantum machine learning (QML) model. This prompt invites teams to explore one of these tracks and produce a working option pricing model.
Timeline
No timeline yet.
Why this track exists?
Your task is to use quantum machine learning (QML) to produce an option pricing model. More specifically, your goal is to implement and train a QML model to predict the price of put and call options.
Who is this track for?
Beginners
- Participants who are new to Quantum Computing but possess some AI background might find the QML implementation more approachable.
Prizes & Outcomes
No prizes yet.
How to get started
A training dataset will be provided to the participants to train a QML model to price options. The test dataset will be provided at the end of the hackathon for fair and exciting evaluation.