AI RESEARCH

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning

arXiv CS.AI

ArXi:2605.06734v1 Announce Type: cross Fast Weight Programmers (FWPs) encode temporal dependencies through dynamically updated parameters rather than recurrent hidden states. Quantum FWPs (QFWPs) extend this idea with variational quantum circuits (VQCs), but existing implementations rely on multi-qubit architectures that are difficult to scale on noisy intermediate-scale quantum (NISQ) devices and expensive to simulate classically.