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Quantum Machine Learning: Anomaly detection by Quantum-Classical Artificial Intelligence – a d-fine story
Quantum Machine Learning: Anomaly detection by Quantum-Classical Artificial Intelligence – a d-fine story
Machine learning and artificial intelligence not only present themselves through Alexa, Siri or Cortana but are buzzwords for disruptive transformation in industrial sectors. A similar potential is attributed to quantum computing which is still in an early stage of development but simultaneously growing rapidly.
Our presentation pursues to show you a story of the development of an algorithm that contains both technologies. Therefore, we have created a very clever detective recognizing anomalies and differentiating into wrong and right.
Keywords are generative adversarial networks and quantum classical hybrid autoencoder.
To get away from the theory, we want to inform you about our practice as consultants, developers as well as project “PlanQK” where we have developed our algorithm.