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Quantum computing has rapidly advanced since its inception, with the proposal of quantum algorithms and the emergence of quantum machine learning (QML). Challenges remain in integrating quantum feature extraction and addressing nonlinear dynamics in EEG signal processing. A quantum state preparation procedure has been devised for processing classical information on a quantum computer, allowing for multi-channel and multi-sample scenarios.
