Core Claim: We propose a novel matrix computation method based on quantum entanglement, leveraging the entanglement properties to enhance the computational efficiency of matrix operations.

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique pathway to computational advantage. This paper investigates a new approach to matrix computation, utilizing quantum entanglement as a core mechanism to achieve significantly improved computational efficiency compared to classical methods. The proposed method explores the potential of manipulating entangled states to perform matrix operations, demonstrating a promising pathway towards a more efficient and scalable quantum computation. We present a detailed theoretical framework and preliminary implementation demonstrating the potential of this approach. The research focuses on enhancing matrix multiplication and eigenvalue calculations, offering a foundation for future explorations in quantum algorithms and hardware development.

DOI: 10.5281/zenodo.22323261

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