Quantum Information Materials Inspired Optimization Algorithm

Zhang, Jincheng

Published Nov 8, 2025• 0 citations

Abstract

Quantum information materials, with their unique properties of quantum superposition, entanglement, topological protection, and quantum tunneling, provide a new physical foundation for quantum information science and technology. Based on the characteristics of quantum information materials, this paper proposes a novel optimization algorithm. This algorithm achieves a dynamic balance between global and local searches by simulating the superposition state of quantum amplitude and phase, combined with a triple mechanism of quantum entanglement attraction, topological barrier protection, and quantum tunneling perturbation. The algorithm utilizes amplitude and phase to jointly control the search process, ensuring the stability of excellent solutions while improving global exploration capabilities. This paper systematically elucidates the mathematical model, update mechanism, and core formulas of the algorithm, and discusses its theoretical innovation and potential application value.

DOI: 10.5281/zenodo.17557823

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