Core Claim: A Dynamic Matrix Approach to Quantum Entanglement Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, presents a unique opportunity for computation and algorithm development. However, the limitations of traditional quantum computing methods—particularly in terms of computational complexity and algorithm design—have hindered progress. This paper introduces a novel approach, leveraging dynamic matrix systems, to enhance quantum entanglement computation. We propose a method that utilizes the inherent properties of quantum entanglement to streamline matrix operations, ultimately enabling more efficient quantum algorithms and computations. This work addresses the limitations of current quantum computing paradigms by introducing a new framework that exploits entanglement for enhanced computational power.

DOI: 10.5281/zenodo.22290974

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