Quantum Computation on High-Dimensional Nonlinear Matrices
Jincheng Zhang
Abstract
This paper investigates the potential of quantum computing to address complex computational challenges, specifically focusing on the efficient computation of high-dimensional nonlinear matrices. We propose a novel approach utilizing quantum entanglement and quantum simulation to accelerate calculations, offering a new avenue for solving problems across various fields, including optimization and materials science. The core mechanism centers around leveraging the unique properties of quantum entanglement to achieve precise matrix operations, complemented by a quantum simulation framework to enhance computational speed. The paper explores the potential applications of this method, highlighting its promise for overcoming limitations of classical computation in high-dimensional settings.