Quantum Topology Geometry Parameter Optimization
Jincheng Zhang
Abstract
Quantum topology, a fascinating field of mathematics, offers a novel approach to designing quantum systems with enhanced properties. This paper investigates a novel optimization algorithm, Quantum Topology Geometry Parameter Optimization (QTGPO), based on the principles of quantum topology. The algorithm leverages the inherent geometric properties of quantum states to guide parameter adjustments, ultimately aiming to improve quantum computation accuracy and efficiency. We propose a mechanism for systematically optimizing key parameters within a quantum system, guided by the underlying topology of the system. The core claim centers on the development of this algorithm as a means to overcome limitations in traditional optimization methods, particularly in the context of quantum systems. This paper explores the theoretical underpinnings of QTGPO and presents preliminary results demonstrating its effectiveness in a specific quantum system.