Topological Entanglement Network Optimization Based on Quantum Coherence Time

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores a novel approach to optimizing topological entanglement networks by leveraging precise control over quantum coherence time. The core concept involves utilizing a feedback control system to monitor and dynamically adjust coherence times within the network, guided by the underlying topological structure. This adaptive control mechanism aims to maximize information transmission efficiency and enhance the network's resilience to noise and errors. We present a theoretical framework detailing the optimization process, incorporating mathematical models to describe coherence time dynamics and network connectivity. The proposed strategy offers a pathway towards realizing more robust and efficient quantum entanglement networks, crucial for applications in quantum communication, computation, and sensing. The key elements of this work include a detailed mathematical description of coherence time control, a topological network optimization algorithm, and an analysis of the resulting performance improvements.

DOI: 10.5281/zenodo.22187456

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