Quantum State Dynamics and Adaptive Topology Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum state dynamics represent a fundamental challenge in quantum computing and communication. Traditional optimization approaches often focus on static topologies, limiting the potential for efficient quantum information processing and transmission. This paper explores a novel dynamic topology optimization method leveraging quantum entanglement to dynamically adjust quantum state topology, offering a significant advancement over existing techniques. We introduce a framework that utilizes entangled states to guide a process of state evolution, resulting in improved fidelity, reduced error rates, and enhanced quantum communication capabilities. The core mechanism revolves around the entanglement-driven manipulation of quantum states, enabling a more flexible and powerful optimization strategy. This work demonstrates the potential of this approach through theoretical analysis and preliminary experimental validation.

DOI: 10.5281/zenodo.22296698

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