Title: Non-Locality in Quantum Field Theory - Adaptive Correlation
Jincheng Zhang
Abstract
Quantum field theory (QFT) provides a framework for understanding the behavior of fundamental particles and forces, but its inherent non-locality – the apparent ability of particles to influence each other instantaneously across vast distances – has posed a significant challenge to theoretical consistency. Traditional approaches often struggle to adequately capture this phenomenon. This paper presents a novel method, the "Adaptive Correlation Algorithm," designed to explicitly model and analyze non-locality within QFT. We introduce a Quantum Echo Algorithm, a dynamic correlation adjustment mechanism, that allows the field to exhibit complex, non-random patterns, offering a more realistic and potentially testable model for this fundamental aspect of quantum mechanics. The core of this work lies in its explicit incorporation of adaptive correlation, a concept previously largely absent from standard QFT formulations. This paper presents the algorithm's implementation, analysis, and potential implications for advancing our understanding of non-locality in quantum field theory.