Dynamic Information Fields (DIF) Theory

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel Dynamic Information Field (DIF) theory, integrating information theory and quantum field theory to investigate non-linear effects of information in quantum systems and applying this framework to quantum computation optimization and control. We develop a mechanism where information serves as a critical parameter, leveraging the non-linear properties of information entropy to design quantum algorithms. The core claim is that the theory provides a new perspective on quantum computation, offering potential improvements in algorithm efficiency and robustness. The work explores the connection between information and quantum state evolution, and demonstrates the utility of information entropy in guiding the design of quantum algorithms. The theoretical framework is presented as a means to enhance the understanding of quantum systems and advance the field of quantum computation.

DOI: 10.5281/zenodo.22199044

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