Based on Topological Adaptive Quantum Entanglement Computation
Jincheng Zhang
Abstract
This paper introduces a novel approach to quantum entanglement computation based on topological data analysis (TDA) and adaptive optimization. We propose a method that utilizes the inherent topological properties of quantum states to significantly enhance the precision and efficiency of entanglement calculations. The core mechanism involves systematically manipulating the quantum state to induce specific topological phases, allowing for targeted error correction and improved entanglement fidelity. We explore the potential of this technique across a range of applications, including quantum simulation and fundamental physics research. The paper details the theoretical framework, implementation of the algorithm, and initial experimental results demonstrating the effectiveness of the proposed method.