Quantum-Inspired Optimization for Complex Systems

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum-inspired optimization aims to improve the performance of complex optimization problems by incorporating principles from quantum mechanics. This paper explores the application of quantum-like concepts, such as superposition and entanglement, to enhance the efficiency of optimization algorithms. We present a novel quantum-inspired optimization framework designed to address the challenges inherent in complex systems, offering a fundamentally different approach compared to traditional optimization methods. The core mechanism focuses on leveraging these quantum principles to achieve improved solution paths and faster convergence. This research contributes to the advancement of optimization techniques with the potential for significant gains in the solution of challenging problems across diverse fields.

DOI: 10.5281/zenodo.22314931

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