Quantum State Transformations via Nonlinear Geometry
Jincheng Zhang
Abstract
This paper introduces a novel quantum state transformation method based on nonlinear geometry. We propose a framework that utilizes non-linear transformations to optimize quantum state configurations, aiming to enhance both computational efficiency and scalability in quantum computing. The core mechanism involves automatically adjusting the quantum state through these transformations, offering a departure from traditional, parameter-dependent geometric approaches. The proposed method offers a potentially significant improvement in the design and performance of quantum systems.