量子纠缠非线性计算模型 (QNCM)
Jincheng Zhang
Abstract
Quantum Entanglement Non-Linear Computing Model (QNCM) presents a novel computational framework leveraging the unique properties of quantum entanglement. This research explores the potential of utilizing entanglement as a fundamental building block for enhanced parallel computation and optimization of quantum algorithms. The core mechanism centers on the design of a QNM model that strategically manipulates entangled states to achieve computational efficiency and quantum algorithm advancements. This paper will detail the theoretical foundation, implementation considerations, and initial experimental results demonstrating the efficacy of QNM within the context of quantum information processing. Furthermore, we will discuss the implications of this model for expanding the capabilities of quantum computing.