Quantum-Enhanced Resonance Mapping – Novel Pattern Recognition

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum-Enhanced Resonance Mapping presents a paradigm shift in pattern recognition, moving beyond classical algorithms to exploit the potential of quantum entanglement for enhanced sensitivity to subtle correlations within data sets. This paper details the development of a novel "Quantum Resonance Mapping" algorithm, incorporating quantum entanglement to dramatically improve the detection and classification of patterns. We explore the theoretical underpinnings of this approach, outlining the core mechanisms and potential advantages over existing methods. The paper concludes with a discussion of the challenges and future directions of this research.

DOI: 10.5281/zenodo.22277859

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