Title: Self-Organizing Quantum Fields for Pattern Recognition

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of self-organizing quantum fields to revolutionize pattern recognition by automating the discovery of intricate patterns within complex datasets. The core hypothesis posits that carefully designed quantum fields can exhibit self-organization, creating dynamic and complex structures that can be exploited for pattern detection. We propose a novel quantum field algorithm capable of autonomously generating and evolving patterns based on input data, offering a paradigm shift from traditional pattern-recognition methods reliant on human intervention. This work explores the theoretical foundations and potential applications of this approach, emphasizing its capacity for automated pattern discovery in diverse data types.

DOI: 10.5281/zenodo.22497140

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