Quantum-Driven Topological Field Theory for Signal Processing (QDFT-SP)

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the potential of Quantum-Driven Topological Field Theory (QDFT-SP) for enhancing signal processing algorithms, particularly focusing on the detection and analysis of subtle patterns. The core concept revolves around exploiting quantum entanglement to establish a correlated basis for signal processing, thereby enabling the identification of previously undetectable anomalies. We present a theoretical framework outlining the design of a quantum algorithm predicated on this principle, emphasizing the advantages over traditional methods. The paper will detail the proposed mechanism, potential challenges, and preliminary results demonstrating the feasibility of this approach. The ultimate goal is to create a robust and efficient signal processing system capable of handling complex datasets with enhanced sensitivity.

DOI: 10.5281/zenodo.22629753

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