arXiv:2602.13238v2 Announce Type: replace-cross Abstract: Stacked intelligent metasurfaces (SIMs) have recently emerged as a powerful wave-domain technology that enables multi-stage manipulation of electromagnetic signals through multilayer programmable architectures. While SIMs offer unprecedented degrees of freedom for enhancing physical-layer security, their extremely large number of meta-atoms leads to a high-dimensional and strongly coupled optimization space, making conventional design approaches inefficient and difficult to scale. Moreover, existing deep reinforcement learning (DRL) tec
The increasing complexity of wireless networks and the urgent need for enhanced security against sophisticated threats are driving the exploration of advanced AI and quantum-inspired solutions.
This development suggests a future where AI-driven, quantum-enhanced methods will be critical for securing communication infrastructure, impacting national security and economic stability.
The conventional approaches to network security may become obsolete as quantum reinforcement learning offers a more robust and scalable method for managing complex electromagnetic signal manipulations.
- · Telecommunication companies
- · Defense sector
- · AI/Quantum research institutions
- · Cybersecurity firms
- · Legacy cybersecurity providers
- · Adversaries relying on current eavesdropping techniques
Enhanced security and efficiency for advanced wireless networks, protecting critical infrastructure.
Accelerated integration of quantum concepts into classical AI for broader applications beyond networking.
A new arms race in secure communication and intelligence, driven by quantum-AI breakthroughs.
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Read at arXiv cs.LG