AIBullisharXiv – CS AI · 8h ago6/10
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Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design
Researchers present a distributed quantum learning (DQL) framework combining convergence analysis for practical quantum systems with an adaptive post-quantum cryptographic architecture. The study demonstrates that dynamic security mechanisms reduce execution overhead by 49% while maintaining 91% threat detection accuracy, addressing scalability challenges in multi-device quantum computing infrastructure.