基于动态拓扑的量子计算的量子拓扑优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computation, leveraging the principles of quantum mechanics, offers the potential for unprecedented computational power. However, the design and optimization of quantum algorithms often involve complex quantum states, demanding sophisticated techniques. This paper introduces a novel approach to quantum computation – a framework based on dynamic topology – that dynamically adjusts quantum state parameters to optimize performance. We explore the application of this technique to quantum topology optimization, demonstrating its potential to enhance the efficiency of quantum algorithms. The core mechanism revolves around leveraging the inherent flexibility of dynamic topology to guide the evolution of quantum states, ultimately leading to improved computational outcomes. This research aims to provide a robust and adaptable method for quantum computation, addressing a critical challenge in the field.

DOI: 10.5281/zenodo.22183369

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