Quantum-classical hybrid systems combine the principles of quantum computing with classical computing techniques to leverage the strengths of both paradigms. These systems aim to solve complex problems more efficiently by utilizing quantum bits (qubits) for certain tasks while relying on classical bits for others, creating a powerful framework that can enhance machine learning and neuromorphic computing applications.
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