7 citations · 17 across the 5 of their papers we have counts for
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quant-ph2023★ 6 cited
Speedy Contraction of ZX Diagrams with Triangles via Stabiliser Decompositions
Mark Koch, Richie Yeung, Quanlong Wang
Recent advances in classical simulation of Clifford+T circuits make use of the ZX calculus to iteratively decompose and simplify magic states into stabiliser terms. We improve on t…
quant-ph2022★ 7 cited
Quantum Machine Learning using the ZXW-Calculus
Mark Koch
The field of quantum machine learning (QML) explores how quantum computers can be used to more efficiently solve machine learning problems. As an application of hybrid quantum-clas…
quant-ph2022★ 4 cited
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
Quanlong Wang, Richie Yeung, Mark Koch
ZX-calculus has proved to be a useful tool for quantum technology with a wide range of successful applications. Most of these applications are of an algebraic nature. However, othe…