Title: Quantum-Enhanced Complexity - Pattern Recognition in Quantum Systems

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-enhanced complexity represents a paradigm shift in pattern recognition, moving beyond classical algorithms to harness the unique properties of quantum mechanics. This research investigates a novel algorithm, Quantum-Enhanced Complexity (QEC), designed to detect subtle, non-classical correlations within complex datasets utilizing entanglement and superposition. We propose a framework that leverages these quantum phenomena to create a 'quantum fingerprint' for data, offering the potential for significantly enhanced pattern recognition capabilities. This paper details the core mechanism, explores potential applications, and outlines the challenges associated with implementing this approach. The study focuses on the specific benefits of entanglement-based pattern detection, arguing that it offers a distinct advantage in identifying subtle correlations often missed by traditional methods.

DOI: 10.5281/zenodo.22199826

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