Quantum Algorithms: A New Frontier in Financial Crime Prevention

arXiv:2403.18322v1 Announce Type: new
Abstract: Financial crimes fast proliferation and sophistication require novel approaches that provide robust and effective solutions. This paper explores the potential of quantum algorithms in combating financial crimes. It highlights the advantages of quantum computing by examining traditional and Machine Learning (ML) techniques alongside quantum approaches. The study showcases advanced methodologies such as Quantum Machine Learning (QML) and Quantum Artificial Intelligence (QAI) as powerful solutions for detecting and preventing financial crimes, including money laundering, financial crime …

abstract advantages algorithms arxiv computing crime crime prevention cs.et cs.lg financial financial crime highlights machine machine learning novel paper prevention quantum quantum computing robust solutions type