AI-Powered Fraud Detection Quantum Model in Embedded Payments Products

Abstract

This paper explored how to integrate an AI-based fraud detection quantum model in embedded payment products which
will aid in securing the system and limiting the exposure of the owners to financial risks. The analysis of transaction
patterns and their anomalies in real time was done via the application of a hybrid approach by combining machine
learning algorithms with quantum computing techniques. The literature review illustrates the exceptional abilities that
AI technology has gained in the fight against fraud and recognises the role of deep learning and the integration of
blockchain technology in it.