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Title: Universal Quantum State Representation for Pattern Recognition

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper proposes a novel approach to pattern recognition utilizing a quantum state representation capable of encoding any pattern, including complex symbolic and visual information. Current methods largely rely on data-driven techniques, limiting the potential for truly transformative pattern recognition. We introduce a new representation – the "Quantum State Encoding" – that leverages the inherent properties of quantum mechanics to encode patterns directly within the quantum state itself. This approach promises a paradigm shift in pattern recognition, potentially surpassing the capabilities of existing algorithms by offering a level of abstraction and interpretability not currently available. The core mechanism focuses on dynamically evolving the quantum state to represent patterns, eliminating the need for explicit feature engineering and enabling robust pattern identification across diverse data types. We explore the mathematical framework underpinning this approach and provide a preliminary demonstration of its capabilities through a simplified example.

DOI
10.5281/zenodo.22199971

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