Non-Linear Matrix Self-Adaptive Quantum State Transition

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores a novel quantum state transition mechanism based on non-linear matrix dynamics, aiming to overcome the limitations of traditional quantum entanglement. We propose a framework where the matrix's self-adaptability is leveraged to facilitate faster and more flexible quantum state transitions. This approach offers the potential to significantly enhance quantum information processing and quantum computation by enabling dynamic and controlled quantum evolutions. The core mechanism involves employing a matrix representation to dynamically adjust quantum properties, allowing for rapid and efficient transitions between states. This research investigates the theoretical underpinnings of this approach, outlines the design of the matrix structure and its associated operations, and discusses the potential benefits and challenges associated with its implementation. We demonstrate through simulations that the proposed framework exhibits superior transition speeds compared to conventional methods, significantly advancing the capabilities of quantum systems.

DOI: 10.5281/zenodo.22294721

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