Showing 1–20 of 27 results
/ Date/ Name
Oct 6, 2025A Lie Theoretic Framework for Controlling Open Quantum SystemsMar 26, 2024Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility ProspectsFeb 16, 2022Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search FrameworkOct 9, 2012Self-Dual Maps and Symmetric Bistochastic MatricesAug 5, 2024Bridging the Gap to Next Generation Power System Planning and Operation with Quantum ComputationMay 20, 2024Demonstrating Quantum Scaling Advantage in Approximate Optimization for Energy Coalition Formation with 100+ AgentsDec 15, 2021Community Detection in Electrical Grids Using Quantum AnnealingMay 16, 2023Energy risk analysis with Dynamic Amplitude Estimation and Piecewise Approximate Quantum CompilingAug 8, 2024Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph GamesJul 9, 2024Evaluating Quantum Optimization for Dynamic Self-Reliant Community DetectionJun 3, 2025Efficient QAOA Architecture for Solving Multi-Constrained Optimization ProblemsDec 4, 2023Challenges and Opportunities in Quantum OptimizationMar 13, 2026Breaking concentration barriers for quantum extreme learning on digital quantum processorsDec 18, 2024Reducing QUBO Density by Factoring Out Semi-SymmetriesDec 10, 2024Mitigating exponential concentration in covariant quantum kernels for subspace and real-world dataDec 16, 2021Hybrid Classical-Quantum Autoencoder for Anomaly DetectionSep 11, 2023Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum OptimizationNov 14, 2024Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical GridsJan 9, 2025Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization ApproachesJul 30, 2024A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling