Quantum Entangled Matrix Nonlinear Computation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Entangled Matrix Nonlinear Computation is a novel approach to solving linear algebra problems by leveraging quantum entanglement to efficiently compute non-linear operations. This paper explores the design of a quantum computing method utilizing entangled matrices to accelerate linear algebra computations, ultimately aiming to expand the capabilities of quantum computation. The core mechanism centers around harnessing the unique properties of quantum entanglement to enable a fundamentally faster and more scalable approach to solving linear equations. The investigation focuses on the potential of quantum entanglement to drastically reduce computational complexity and enhance the performance of quantum algorithms.

DOI: 10.5281/zenodo.22204359

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