Quantum Hiding Matrix – Based on Topological Structures of Quantum Computation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum Hiding Matrix (QHM) is a novel quantum computing approach that leverages the power of topological structures to enhance the efficiency and security of quantum computations. This paper introduces a method for constructing quantum hidden-square matrices, utilizing topological properties to optimize quantum algorithms and improve the overall performance of quantum systems. The core mechanism centers around the application of topological invariants to guide the evolution of quantum states, leading to increased computational complexity and enhanced robustness against noise. We present a detailed explanation of the algorithm, including the mathematical framework underpinning the topological transformations, and demonstrate its effectiveness through simulations and analysis. The study explores the potential of QHM for tackling complex problems in quantum information processing.

DOI: 10.5281/zenodo.22635294

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