Quantum graph network
WebSuch networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of ... WebThis volume is a collection of articles dedicated to quantum graphs, a newly emerging interdisciplinary field related to various areas of mathematics and physics. The reader can find a broad overview of the theory of quantum graphs. The articles present methods coming from different areas of mathematics: number theory, combinatorics, …
Quantum graph network
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WebJan 11, 2024 · We develop and implement two realizations of quantum graph neural networks (QGNN), applied to the task of particle interaction simulation. The first QGNN is … WebSep 26, 2024 · 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, and are particularly suitable to be executed on distributed quantum systems over a quantum network. Along with this general class of ansatze, we introduce …
WebJul 27, 2024 · The Quantum Graph Recurrent Neural Network ¶ The Idea ¶. A graph is defined as a set of nodes along with a set of edges, which represent connections between nodes. … WebWrote a deep dive into classical graph neural networks, graph convolutions & attention-based graph learning, and QML applied to high energy physics ; Feb 2024 - Top 5 QHack 2024 Project . Improved a hybrid quantum graph neural network that was used to solve the particle trajectory reconstruction problem ; Dec 2024 - Authored closing ...
WebNov 30, 2024 · Quantum Graph Neural Networks (QGNNs) If quantum chemistry on graph neural networks is an effective way to take advantage of molecular structure when making inferences about quantum chemistry, defining the neural networks of a GNN as an ansatz , or quantum circuit architecture, can bring models even closer to the system they are … WebDec 7, 2024 · We present quantumnetworks as a numerical simulation tool with which to explore the time-dynamics of a driven, lossness, and nonlinear multi-mode quantum network using the Heisenberg-Langevin Equations.
WebBoltzmann machine (BM) is a recurrent network, which has a wide range of applications in machine learning (ML) including dimensionality reduction, feature learning and classification. Standard BM is described by the Ising model and can be implemented as a spin ice based device. Such hardware implementation is faster and more energy efficient …
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