Papers › Representing and Implementing Matrices Using Algebraic ZX-calculus

Representing and Implementing Matrices Using Algebraic ZX-calculus

13 Oct 2021arXiv:2110.06898archive 2025-07-28

Quanlong Wang, Richie Yeung

In linear algebra applications, elementary matrices hold a significant role. This paper presents a diagrammatic representation of all 2ᵐ×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.

PaperPDFCode

Code

y-richie-y/qpl-represent-matrix officialmentioned in papermentioned on GitHub report
y-richie-y/qpl2022-represent-matrix officialmentioned in papermentioned on GitHub report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections