AI RESEARCH
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
arXiv CS.LG
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ArXi:2605.05914v1 Announce Type: cross Large language models (LLMs) have transformed artificial intelligence, yet classical architectures impose a fundamental constraint: every trainable parameter demands classical memory that scales unfavourably with model size. Quantum computing offers a qualitatively different pathway, but practical nstrations on real hardware have remained elusive for models of practical relevance.