Title: Adaptive Quantum Entanglement Probability Analysis

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This research investigates the potential of adaptive quantum entanglement to enhance probabilistic analysis in quantum computing and quantum communication. We propose a novel framework that leverages the dynamic nature of entangled states to dynamically adjust quantum computation parameters, leading to improved precision and optimization. The core mechanism centers around a "quantum state self-weighting" system, which adjusts parameters based on the entanglement's evolving state. This approach overcomes limitations of traditional quantum algorithms by directly incorporating the inherent probabilistic properties of entangled systems. The study explores the benefits of this framework in enhancing quantum error correction and enabling more efficient quantum computations. The findings will provide a foundation for advanced quantum algorithms and protocols.

DOI: 10.5281/zenodo.22203136

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