268 citations · 2.3k across the 72 of their papers we have counts for
3 papers · 1 filter
Machine learning engineering of quantum currents
Tobias Haug, Rainer Dumke, Leong-Chuan Kwek +2
The design, accurate preparation and manipulation of quantum states in quantum circuits are essential operational tasks at the heart of quantum technologies. Nowadays, circuits can…
Transfer learning for scalability of neural-network quantum states
Remmy Zen, Long My, Ryan Tan +5
Neural-network quantum states have shown great potential for the study of many-body quantum systems. In statistical machine learning, transfer learning designates protocols reusing…
Graph-theory treatment of one-dimensional strongly repulsive fermions
Jean Decamp, Jiangbin Gong, Huanqian Loh +1
One-dimensional atomic mixtures of fermions can effectively realize spin chains and thus constitute a clean and controllable platform to study quantum magnetism. Such strongly corr…