QPSAN implements self-attention via PQCs with 5 parameters, establishes a theoretical framework for its scoring properties, and reports outperformance over ViT on four vision datasets that grows with data complexity.
Quantum-inspired interpretable deep learning architecture for text sentiment analysis,
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Quantum Parameterized Self-Attention Network for Image Classification
QPSAN implements self-attention via PQCs with 5 parameters, establishes a theoretical framework for its scoring properties, and reports outperformance over ViT on four vision datasets that grows with data complexity.