QML – Quantum Machine Learning

This goal of this project is to develop novel hybrid classical-quantum machine learning algorithms to tackle challenging problems in academia and industry on quantum simulators as well as on real quantum hardware.

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Description

Quantum machine learning leverages fundamental concepts of quantum mechanics such as entanglement and superposition. These are powerful concepts that do not exist in classical machine learning. Big tech companies such as Google, IBM and Microsoft are racing toward the holy grail in quantum computing – namely do demonstrate quantum advantage for practical applications.