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Dynamic Topology-Based Quantum State Collapse

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper investigates the potential of dynamically adjusting the topology of a quantum state during collapse to enhance the fidelity of quantum measurements. Leveraging a novel 'Adaptive Topology Collapse' system, we demonstrate a significant improvement in measurement accuracy compared to traditional collapse methods. The core mechanism focuses on analyzing the state's topology and implementing a tailored collapse sequence to minimize errors, offering a substantial advancement in quantum state manipulation. We present a theoretical framework and preliminary experimental validation, highlighting the potential of this approach for advanced quantum measurement techniques.

DOI
10.5281/zenodo.22190648

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This paper investigates the application of self-adaptive topology to quantum entanglement analysis, aiming to refine the measurement process and improve the accuracy of entanglement characterization. Traditional approaches often rely on static models, limiting the ability to dynamically adjust the analysis based on the system's state. We propose a novel method that leverages the inherent properties of self-adaptive topology to enhance entanglement analysis. The core mechanism focuses on dynamically modifying the topology during the entanglement measurement, thereby minimizing noise and maximizing the fidelity of the measurement. The resulting system exhibits improved performance in analyzing complex entangled states, demonstrating a significant advancement in the precision of quantum entanglement characterization.
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