7 citations · 17 across the 5 of their papers we have counts for
5 papers
GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs
Taniya Das, Mark Koch, Maya Ravichandran +1
GraphRNN is a deep learning-based architecture proposed by You et al. for learning generative models for graphs. We replicate the results of You et al. using a reproduced implement…
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…
Paint it Black: Generating paintings from text descriptions
Mahnoor Shahid, Mark Koch, Niklas Schneider
Two distinct tasks - generating photorealistic pictures from given text prompts and transferring the style of a painting to a real image to make it appear as though it were done by…
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…
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…