基于自适应拓扑的量子态模拟与优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel method for quantum state simulation and optimization based on adaptive topology. Traditional quantum state simulation techniques often struggle with complex dynamics and require significant computational resources. Our approach leverages adaptive topology, dynamically constructing and modifying the quantum state representation to effectively analyze and optimize the evolution of the system. The core mechanism involves the creation of a topological structure that represents the system's state, allowing for continuous, real-time exploration of the state space and facilitating optimized trajectory generation. This allows for faster simulation and improved performance compared to traditional methods. We demonstrate the effectiveness of this framework through simulations exploring the dynamics of a simplified quantum system.

DOI: 10.5281/zenodo.22200179

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