基于非对称矩阵运算的自适应量子计算框架

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing framework based on asymmetric matrix operations, leveraging quantum entanglement to accelerate computation. Traditional quantum computing relies on classical computation, while this framework introduces a unique approach that utilizes the inherent properties of asymmetric matrix operations and quantum entanglement for enhanced efficiency and stability. The core mechanism involves strategically introducing entanglement within matrix operations to dramatically improve computational speed. This work addresses the limitations of existing quantum algorithms by offering a fundamentally different approach to processing information, potentially unlocking new capabilities in complex calculations. The framework demonstrates significant improvements in specific quantum algorithms through the application of these novel techniques. This research explores the potential for significant advancements in quantum computation by introducing a new paradigm centered around asymmetric matrix operations and entanglement.

DOI: 10.5281/zenodo.22291038

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