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Representing and Implementing Matrices Using Algebraic ZX-calculus

Published 13 Oct 2021 in quant-ph and cs.AI | (2110.06898v4)

Abstract: In linear algebra applications, elementary matrices hold a significant role. This paper presents a diagrammatic representation of all $2m\times 2n$-sized elementary matrices in algebraic ZX-calculus, showcasing their properties on inverses and transpose through diagrammatic rewriting. Additionally, the paper uses this representation to depict the Jozsa-style matchgate in algebraic ZX-calculus. To further enhance practical use, we have implemented this representation in \texttt{discopy}. Overall, this work sets the groundwork for more applications of ZX-calculus such as synthesising controlled matrices [arXiv:2212.04462] in quantum computing.

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