Two papers were recently published summarizing the landscape of Quantum Computing developments in Finance. These papers help establish the common knowledge base allowing for further experimentation and use-case development that Zenith is looking to foster.
The first Paper provides an development overviews in portfolio optimization, fraud detection, and Monte Carlo methods for derivative pricing and risk calculation while also providing a comprehensive overview of the applications of quantum computing in the field of blockchain technology. The second Paper focuses on stochastic modelling, optimization and machine learning.
