Nov 30, 2023 · In this work, we bring together ZX-diagrams with reinforcement learning, a machine learning technique designed to discover an optimal sequence of actions in a ...
In this work, we have introduced a general scheme for optimizing ZX-diagrams using reinforcement learning with graph neural networks. We showed that the ...
Our work lays the foundation for applying the combination of RL and ZX-calculus to a broad range of tasks like minimizing the gate count of quantum circuits, ...
Sep 19, 2024 · ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, ...
This project contains the code used to produce the results in the two publications: "Optimizing ZX-Diagrams with Deep Reinforcement Learning"
Apr 28, 2024 · This paper explores the use of deep reinforcement learning to optimize ZX-diagrams, which are a graphical representation of quantum computations ...
Optimizing ZX-Diagrams with Deep Reinforcement Learning Maximilian Nägele and Florian Marquardt Show abstract ⇲ Show bibdata ⇲ Video · arXiv ...
Duration: 39:18
Posted: Jan 17, 2024
Posted: Jan 17, 2024
Dec 18, 2023 · We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams.
At each step, the reinforcement learning agent is provided with a ZX-diagram in the form of a graph. The agent then uses a graph neural network to suggest ...