A class-incremental quantum learning framework that represents each class as a trainable 4-qubit mixed-state prototype and classifies by Hilbert-Schmidt distance, adding new classes without widening the quantum backbone.
Class-incremental learning: survey and performance evaluation on image classification,
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Quantum Incremental Learning with Mixed State Prototypes
A class-incremental quantum learning framework that represents each class as a trainable 4-qubit mixed-state prototype and classifies by Hilbert-Schmidt distance, adding new classes without widening the quantum backbone.