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Found 8 papers, 1 papers with code
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning
Quantum computing holds immense potential for solving classically intractable problems by leveraging the unique properties of quantum mechanics.
Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
Nanodevices with Terahertz (THz)-based wireless communication capabilities are providing a primer for flow-guided localization within the human bloodstreams.
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics
One of the unique points of GNNs is their flexibility to adapt to multiple problems, which not only leads to wide applicability, but also poses important challenges when finding the best model or acceleration technique for a particular problem.
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation
In general, to draw robust conclusions from a dataset, all the analyzed population must be represented on said dataset.
On the Enabling of Multi-receiver Communications with Reconfigurable Intelligent Surfaces
We analyze the performance for indoor and outdoor scenarios, given the broadcast mode of operation.
Localization in Power-Constrained Terahertz-Operating Software-Defined Metamaterials
Software-Defined Metamaterials (SDMs) show a strong potential for advancing the engineered control of electromagnetic waves.
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
On the other hand, an in-depth analysis of current software and hardware acceleration schemes is provided, from which a hardware-software, graph-aware, and communication-centric vision for GNN accelerators is distilled.
Radiation pattern prediction for Metasurfaces: A Neural Network based approach
Concretely, we show that this method is able to learn and predict the parameters governing the reflected wave radiation pattern with an accuracy of a full wave simulation (98. 8%-99. 8%) and the time and computational complexity of an analytical model.
