Title: Topological Resonance Networks (TRNs)
Jincheng Zhang
Abstract
Quantum entanglement remains a cornerstone of quantum computing and communication, yet its practical implementation faces significant challenges related to decoherence and entanglement distribution. This research proposes a novel framework, Topological Resonance Networks (TRNs), which leverages dynamically evolving topological networks to achieve enhanced entanglement generation and manipulation. TRNs introduce a self-organizing topology driven by continuous, non-linear feedback, creating a persistent resonance effect that transcends traditional entanglement protocols. This approach offers the potential for scalability beyond classical limitations, significantly advancing the field of quantum information processing.