Title: Adaptive Quantum Field Theory for Signal Processing

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum field theory (QFT) offers a fundamentally different perspective on signal processing compared to traditional methods. This research explores the development of an Adaptive Quantum Field Theory (AQFT) designed to dynamically adjust its parameters based on the input signal, thereby enhancing detection capabilities. The core mechanism utilizes a variational quantum algorithm to optimize the field parameters in real-time, ensuring optimal performance across a range of signal characteristics. The proposed AQFT represents a novel approach to signal analysis, addressing limitations inherent in classical methods through a dynamically responsive and robust system. This work presents a conceptual framework with potential for significant advancements in precision and adaptability within signal processing.

DOI: 10.5281/zenodo.22291146

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