Adaptive Topology-Based Dynamic Quantum Computation Algorithm
Jincheng Zhang
Abstract
This paper presents a novel adaptive quantum computation algorithm based on dynamic topology. We propose a method for dynamically adjusting quantum parameters to optimize quantum computation efficiency and enhance algorithm performance. The algorithm leverages a topology-based approach to optimize the quantum state, allowing for adaptive parameter adjustments based on the specific computational task. We detail the core mechanism, the algorithm's architecture, and preliminary experimental results demonstrating its effectiveness in a specific quantum circuit design. The focus is on enhancing quantum algorithm efficiency through intelligent parameter tuning.