[HUGGINGFACE]score: 0.36Quantum-Inspired QKAN-FWPs for Efficient Traffic-Matrix ForecastingJune 25, 2026Gated quantum-inspired Kolmogorov-Arnold network fast-weight programmers (QKAN-FWPs) enable multi-step traffic-matrix forecasting within strict memory and update constraints. The models predict 20 five-minute frames of 144-channel origin-destination matrices using a two-hour history, outperforming matched-size recurrent models.HOW THIS AFFECTS YOU●researcherYou can leverage quantum-inspired architectures for high-dimensional time-series forecasting in resource-constrained environments.read original ↗huggingface.coDAILY DIGEST_all newsbuilderresearcherfounderinvestordesignerpolicyhealthsubscribe →catch up on AI in 2 minutes, every morning. free. unsubscribe anytime. privacy← back to feed