Title: Adaptive Parameterized Quantum Entanglement – Quantum Communication and Computation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement is a cornerstone of quantum technologies, offering the potential for unparalleled security and computational power. However, maintaining and manipulating entangled states poses significant challenges. This paper investigates the design of an adaptive parameterization quantum entanglement scheme, aiming to enhance quantum communication and computation through dynamic adjustment of entangled properties. We propose a novel computational paradigm that leverages machine learning to automatically tailor entanglement parameters based on input signals and measurement outcomes. The core claim is that this approach will enable more efficient quantum communication and computation by providing greater control and adaptability in the entangled state. This work represents a significant step towards overcoming limitations of current entanglement techniques, opening doors to more robust and versatile quantum systems.

DOI: 10.5281/zenodo.22591637

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