Researchers developed a quantum circuit using Variational Quantum Classifier (VQC) to analyze EEG brain signals for detecting attentional focus but found no significant advantage over classical machine learning models. The study highlights that current quantum approaches do not outperform classical methods on small, complex datasets and underscores the need for better problem-circuit matching and real quantum hardware for potential quantum advantages.
Read the full article at Towards AI - Medium
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Ali NematiWritten by Ali
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