Dynamic Topology-Based Quantum State Decomposition
Jincheng Zhang
Abstract
Quantum state decomposition is a crucial challenge in quantum computing, enabling efficient manipulation and computation of quantum states. This paper introduces a novel dynamic topology-based quantum state decomposition method that leverages the inherent structure of quantum systems to achieve high accuracy and computational efficiency. We propose a novel algorithm that dynamically adjusts the quantum state based on topological principles, allowing for precise state manipulation and improved quantum processing. The core mechanism involves constructing a dynamically evolving decomposition topology, which significantly enhances the fidelity of state operations. This approach offers a significant advancement over traditional methods and addresses key limitations in quantum state manipulation.