Nonlinear Matrix Dynamic Quantum State Generation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper investigates the generation of complex quantum states using a dynamic matrix approach. Traditional matrix operations are often static, limiting the potential for efficient computation and communication in the quantum realm. This work proposes a novel algorithm that leverages the inherent adaptability of matrices to generate novel quantum states, specifically tailored for applications in quantum computing and quantum communication. The core mechanism centers around the design of a 'dynamic matrix' generation algorithm, aiming to surpass the limitations of static matrix operations by employing self-adaptive matrix transformations. The paper presents a detailed explanation of the algorithm's design, its operational principles, and preliminary results demonstrating its effectiveness in generating complex quantum states. The research explores how this dynamic matrix approach can enhance the capabilities of quantum algorithms and protocols.

DOI: 10.5281/zenodo.22248493

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