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Found 5 papers, 0 papers with code
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampling and local energy calculation.
Data-Driven Prediction and Evaluation on Future Impact of Energy Transition Policies in Smart Regions
To meet widely recognised carbon neutrality targets, over the last decade metropolitan regions around the world have implemented policies to promote the generation and use of sustainable energy.
Review of Energy Transition Policies in Singapore, London, and California
The paper contains the online supplementary materials for "Data-Driven Prediction and Evaluation on Future Impact of Energy Transition Policies in Smart Regions".
Advancing Tabu and Restart in Local Search for Maximum Weight Cliques
Our new restart strategy is based on the re-occurrence of a local search scenario instead of that of a candidate solution.
Exploiting Reduction Rules and Data Structures: Local Search for Minimum Vertex Cover in Massive Graphs
In this paper we propose a local search algorithm that exploits reduction rules and data structures to solve the MinVC problem in such graphs.
