Our QTFT team members consist of a wide range of quantum scientists both theorists and experimentalists. Our expertise ranges from quantum optimization, quantum machine learning, quantum controls, quantum key distribution, to trapped ion systems with publications in Science, Nature, Nature Physics, among others.
Our recent publications include applying tensor-network techniques for Natural Language Processing. The work, published in New Journal of Physics (2022), was highlighted in tensornetwork.org as “Influential or ground breaking works on theory, algorithms, or applications of tensor networks for machine learning”. We also collaborate with Kasikorn Business Technology Group, a technology arm of a leading bank in Thailand, to publish an article on quantum optimization for loan loss collection.