The Quantum Graph Recurrent Neural Network - PennyLane
Sep 22, 2025 · This demonstration investigates quantum graph recurrent neural networks (QGRNN), which are the quantum analogue of a classical graph recurrent neural network, and a subclass of the …
[1909.12264] Quantum Graph Neural Networks - arXiv.org
Sep 26, 2019 · We introduce Quantum Graph Neural Networks (QGNN), a new class of quantum neural network ansatze which are tailored to represent quantum processes which have a graph structure, …
Quantum graph neural networks | CERN QTI
We have developed a prototype quantum graph neural network (QGNN) algorithm for tracking the particles produced by collision events. The model uses a graph interpretation for trajectory …
QGHNN: A Quantum Graph Hamiltonian Neural Network - IEEE Xplore
Sep 8, 2025 · To address these challenges, this paper introduces a quantum graph Hamiltonian neural network (QGHNN) to enhance graph representation and learning on noisy intermediate-scale …
Towards Quantum Graph Neural Networks - GitHub
We develop and evaluate several supervised learning models, including BlochGNN, EBlochGNN, RDMNet, and Neural Enhanced Quantum Belief Propagation (NEQBP), as well as an unsupervised …
Quantum Graph Neural Networks (QGNNs) - apxml.com
Quantum Graph Neural Networks (QGNNs) aim to adapt these concepts to the quantum domain, seeking to leverage quantum computational principles for processing graph information. The …
eural Networks (QGCNN). We provide four example applications of QGNN’s: learning Hamiltonian dynamics of quantum systems, learning how to create multipartite entanglement in a quantum …
Quantum Graph Neural Network Models for Materials Search
Jun 10, 2023 · Inspired by classical graph neural networks, we discuss a novel quantum graph neural network (QGNN) model to predict the chemical and physical properties of molecules and materials. …
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Aug 12, 2024 · Quantum computing, leveraging principles like superposition and entanglement, offers a pathway to enhanced computational capabilities. This paper critically reviews the state-of-the-art in...
A unifying primary framework for QGNNs from quantum graph states
Oct 30, 2024 · In this paper, we show that a quantum graph neural network model can be understood and realized based on graph states. We then show that the graph states can be used either as a …