Quantum Entanglement-Driven Distributed Collaborative Learning

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed collaborative learning leveraging the unique properties of quantum entanglement. The core claim is that entanglement's non-locality can facilitate high-efficiency information transfer and collaborative learning among nodes in a distributed system, surpassing the limitations imposed by classical communication channels. The proposed mechanism involves each node maintaining a quantum state, shared through entangled states, enabling instantaneous correlations and facilitating collaborative learning. Nodes update their models based on measurements of these entangled states, establishing a quantum entanglement-driven distributed learning network. This approach offers a potential solution to the bandwidth and latency constraints inherent in traditional distributed learning paradigms. We present a theoretical framework outlining the key principles and potential benefits of this method.

DOI: 10.5281/zenodo.22193063

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