Variational Quantum Classifier for Fraudulent Transaction Detection in Synthetic Banking Data: A Noise-Aware Benchmarking Study Using PKTRON

Abstract excerpt

<title>Abstract</title> <p>Financial fraud represents one of the most costly and persistent threats to the global banking sector, with annual losses exceeding $485 billion USD. Machine learning-based fraud detection has become the industry standard, with classical algorithms such as Support Vector Machines (SVM) and Random Forests achieving near-perfect performance on well-structured datasets. As quantum computin...

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• COVID-19 diagnosis using AI
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• Machine Learning in Bioinformatics
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Identifiers and source

Literature Corpus work

7f1b4cc7-9e12-5265-86e5-ed1ac5420a38

DOI

10.21203/rs.3.rs-9553749/v1