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Quantum Simulator: Anomaly Detection

This solution is a quantum annealing based deep learning model capable of training on transactions data to identify anomalous transactions.

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About

This solution is a quantum annealing-based deep learning approach to learn and understand the patterns in transactional data. It aims at learning the normal behavior patterns of the transactions during the training process using a generative pattern recognition algorithm. Once trained, the model can identify abnormal patterns of transactions, thereby classifying them as anomalous.

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