612 citations
- University of TorontoCA23 papers
- Chinese Academy of SciencesCN21 papers
- Perimeter InstituteCA21 papers
- The University of WinnipegCA20 papers
- Wuhan Institute of Physics and MathematicsCN19 papers
- Centre National de la Recherche ScientifiqueFR18 papers
- Université du Québec à MontréalCA17 papers
- Winnipeg Institute for Theoretical PhysicsCA16 papers
- University of WindsorCA13 papers
- Center for Astrophysics Harvard & SmithsonianUS10 papers
- Université TÉLUQCA10 papers
- University of CologneDE9 papers
22 papers · 1 filter
Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem
Truong Thanh Hung Nguyen, Truong Thinh Nguyen, Hung Cao
Resource allocation remains NP-hard due to combinatorial complexity. While deep reinforcement learning (DRL) methods, such as the Rainbow Deep Q-Network (DQN), improve scalability…
Testing ER = EPR with Hydrogen
Irfan Javed, Edward Wilson-Ewing
According to the ER = EPR conjecture, entangled particles are connected by quantum wormholes. Under the assumption that some of the electric field surrounding an entangled charged…
GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
Khodr Jaber, Ebenezer E. Essel, Pierre E. Sullivan
Adaptive mesh refinement (AMR) reduces computational costs in CFD by concentrating resolution where needed, but efficiently embedding complex, non-aligned geometries on GPUs remain…
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
Hossein Shokouhinejad, Griffin Higgins, Roozbeh Razavi-Far +1
Graph Neural Networks (GNNs) have become an effective tool for malware detection by capturing program execution through graph-structured representations. However, important challen…
When Arcs Extend Uniquely: A Higher-Dimensional Generalization of Barlotti's Result
Tim L. Alderson
In this short communication, we generalize a classical result of Barlotti concerning the unique extendability of arcs in the projective plane to higher-dimensional projective space…
Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators
Hassen Nigatu, Shi Gaokun, Li Jituo +3
Optimizing high-degree of freedom robotic manipulators requires searching complex, high-dimensional configuration spaces, a task that is computationally challenging for classical m…