Nonlinear Topological Structures and Adaptive Mapping for Quantum Computing
Jincheng Zhang
Abstract
This paper investigates the potential of non-linear topological structures to enhance quantum computation, focusing on adaptive mapping techniques. We explore how leveraging topological properties can optimize quantum algorithms and improve the stability and predictability of quantum systems. The core mechanism involves utilizing topological structures to guide quantum computations, resulting in enhanced control and prediction capabilities. This research addresses a critical gap in current quantum computing paradigms by prioritizing the inherent structure of the system.