QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
arXiv:2605.13833v1 Announce Type: cross
Abstract: Modeling long-range dependencies in sequential data remains a central challenge in machine learning. Transformers address this challenge through attention mechanisms, but their quadratic complexity wit…