Quantum Machine Learning for Financial Fraud Detection

A quantum machine learning implementation using PennyLane for fraud detection in financial transactions.

Project Structure

1. quantum variational circuit.ipynb: Implementation of basic quantum variational circuits 2. Quantum Neural Network.ipynb: QNN implementation for fraud detection 3. Quantum Decision Tree.ipynb: Quantum decision tree classifier implementation

Features

Quantum Neural Network (QNN) with multiple qubit layers Quantum Decision Tree classifier Data preprocessing and encoding for quantum circuits Model training and evaluation Fraud detection on financial transaction data

Requirements

python pennylane numpy pandas scikit-learn matplotlib