Q-Interference: memory-efficient phase-aware quantum-inspired attention for autoregressive language modeling
Read the original at arxiv.org→arXiv:2608.17288v1 Announce Type: new Abstract: GPT attention measures token compatibility through dot-product similarity. This mechanism is simple, effective, and memory-efficient. But it does not explicitly model...
Original headline: "Q-Interference: Memory-Efficient Phase-Aware Quantum-Inspired Attention"
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- Aug 19, 04:00 UTC arXiv cs.CL lead source Q-Interference: Memory-Efficient Phase-Aware Quantum-Inspired Attention