Which property of qubits fundamentally enables Quantum Machine Learning models to capture complex correlations that classical neural networks struggle with?

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Qubits follow deterministic evolution under unitary gates, preventing overfitting in QNNs.

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Entanglement creates non-classical correlations that span Hilbert spaces exponentially larger than classical feature spaces.

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Quantum gates operate reversibly, enabling perfect backpropagation without gradient vanishing.

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Qubits can store real-valued probabilistic amplitudes instead of binary signals.

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Which property of qubits fundamentally enables Quantum Machine Learning models t...

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