Summary
Bo Yang is a PhD student in computer science based in Paris with nine years of experience at the intersection of quantum computing research and practical benchmarking. His work focuses on certifying quantum utilities and error suppression, with hands-on contributions like resource-efficient implementations of generalized subspace expansion (GSE) and benchmarking on IBM Quantum backends. He has collaborated with leading labs and industry—LIP6, NTT, The University of Tokyo, and IBM Japan—producing papers on hybrid tensor networks and noise propagation as well as a QIP poster on ML for unitary design classification. Comfortable bridging theory and implementation, Bo combines rigorous analysis with device-aware experimentation and has a track record of turning NISQ-era challenges into publishable methods.
8 years of coding experience
Doctor of Philosophy - PhD, Laboratoire d'Informatique de Paris 6, -, Doctor of Philosophy - PhD, Laboratoire d'Informatique de Paris 6, - at Sorbonne Université
(Doctor of Philosophy - PhD), Department of Computer Science, Graduate School of Information Science and Technology, -, (Doctor of Philosophy - PhD), Department of Computer Science, Graduate School of Information Science and Technology, - at 東京大学
University of Tokyo
Ph.D., Computer Science, Ph.D., Computer Science at Sorbonne University