Quantum State Adaptive Topology Expansion Algorithm
Jincheng Zhang
Abstract
Quantum State Adaptive Topology Expansion Algorithm (QSTAE) presents a novel approach to quantum computation by dynamically adjusting the topology of quantum states. This algorithm leverages the inherent complexity of quantum systems and utilizes a self-adaptive expansion mechanism to enhance quantum performance. The core concept revolves around constructing and manipulating a multi-dimensional quantum state representation, allowing for a continuous and flexible expansion of the state's topology. We demonstrate its effectiveness through theoretical analysis and initial experimental validation on a simplified quantum circuit, showcasing improved coherence and entanglement generation compared to existing methods. This research explores the potential of this architecture to address key challenges in quantum information processing, offering a promising avenue for advancing the capabilities of quantum algorithms.