Adaptive Quantum Entanglement Field Theory

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum entanglement remains a cornerstone of quantum information science, yet a fundamental challenge lies in fully understanding its dynamic behavior and potential applications. This paper proposes a novel computational framework, the Adaptive Quantum Entanglement Field Theory (AQETF), designed to address this challenge by dynamically modeling and analyzing quantum entanglement. AQETF utilizes a self-adaptive algorithm to learn the evolution of entangled states, providing a robust and flexible method for investigating entanglement's properties and facilitating deeper insights into its behavior. The core claim of this work is to construct a computational framework that leverages quantum entanglement as a dynamic field, enabling a more complete understanding of its evolution.

DOI: 10.5281/zenodo.22332282

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