Self-Organizing Quantum Computing via Dynamic Topology Control
Jincheng Zhang
Abstract
Quantum computing holds immense potential due to its unique properties, but current implementations face significant challenges in achieving fault-tolerant and scalable computation. This paper investigates a novel approach to quantum computing – Dynamic Topology Control – which leverages the inherent dynamism of quantum systems to facilitate self-organization and efficient computation. We propose a novel algorithm that utilizes a dynamic control scheme to evolve the quantum system's topology, guiding it towards specific patterns and ultimately enhancing quantum computation capabilities. This work addresses limitations of existing quantum algorithms through the integration of dynamic topology manipulation. The proposed method provides a pathway to explore new quantum algorithms and improve overall performance. This research focuses on the fundamental principles of self-organization and topology in quantum systems and demonstrates the practical implications of a dynamic control strategy in the context of quantum computation.