arxiv
PublishedApril 24, 2026 at 4:00 AM
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Quantum Adaptive Self-Attention for Quantum Transformer Models
Publisher summary· verbatim
arXiv:2504.05336v3 Announce Type: replace-cross Abstract: Integrating quantum computing into deep learning architectures is a promising but poorly understood endeavor: when does a quantum layer actually help, and how much quantum is enough? We address both questions through Quantum Adaptive Self-Att
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Originally published on arxiv ↗