Dynamic Topology Quantum Computation
Jincheng Zhang
Abstract
This paper investigates the potential of dynamic topology quantum computation to address challenges in simulating complex dynamic topological systems, such as biological molecules and material self-organization. We propose a novel framework that leverages the unique properties of dynamic topology to construct a dynamically evolving "topology network" through simulation, enabling the investigation of intricate self-assembly processes. The core mechanism centers around generating and manipulating these networks, allowing for the modeling of phenomena not readily accessible through traditional quantum algorithms. The paper explores the benefits of this approach and highlights its potential to unlock new insights into the behavior of these systems.