Conference
Jul 2026
Memory-Enabled Quantum Gene Regulatory Networks for Adaptive Network Slice Embedding
Network optimization driven by Artificial Intelligence (AI) is increasingly required to operate under non-stationary environments, where traffic conditions exhibit cyclic patterns as well as abrupt structural changes. Most existing learning-based approaches rely on explicit retraining or change detection, which limits...
Kazuki Sekizawa, Masaaki Yamauchi, D. Kominami et al.
· International Conference on... · 0 citations