A variational quantum autoencoder detects anomalies in brain MRI by scoring resistance to compression, reporting slice-level ROC-AUC of 0.95 and outperforming classical autoencoders and PCA on public datasets.
Bloch Sphere-Based Representation for Quantum Emotion Space,
2 Pith papers cite this work. Polarity classification is still indexing.
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