Quantum-Inspired Wave Function Decomposition for Complex Systems

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of quantum-inspired wave function decomposition techniques to enhance the representation and analysis of complex systems. The core claim is to develop a novel method that mimics quantum mechanics principles to achieve a higher level of accuracy in simulations, particularly for systems exhibiting intricate correlations and subtle features. We introduce a new decomposition framework, incorporating quantum-inspired algorithms, to address limitations inherent in traditional wave function methods. The paper details the methodology, provides a theoretical justification for the approach, and presents preliminary results demonstrating improved accuracy across a range of complex systems, including those with significant degree of entanglement. The research highlights the potential of this technique to significantly advance modeling capabilities in diverse scientific and engineering fields.

DOI: 10.5281/zenodo.22192672

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