Title: A Chaotic Quantum State Simulation Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel optimization algorithm based on chaotic quantum state simulation. Traditional quantum state simulation methods often employ static representations, limiting their ability to effectively explore and optimize complex quantum systems. Our algorithm leverages the inherent dynamics of chaos to dynamically adjust quantum states, enabling a more efficient and robust optimization process. The core mechanism involves a continuous, self-adaptive system of quantum state modifications, resulting in improved performance compared to static approaches. This work addresses the limitations of existing quantum optimization techniques by introducing a fundamentally different approach that harnesses the power of chaos. We present a comprehensive analysis of the algorithm's performance and discuss potential future directions for research.

DOI: 10.5281/zenodo.22188614

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