Zhan Yu
I am a Ph.D. student at NUS Centre for Quantum Technologies supervised by Patrick Rebentrost. My interests lie in quantum computing and quantum information, with a particular focus on quantum algorithms and quantum learning theory. My research aims to develop quantum algorithms with provable improvements over their classical counterparts, and to understand how to efficiently learn and characterize quantum states and dynamics. I am also interested in theoretical computer science in general.
I obtained my M.Sc. and B.Sc. in computer science from the University of Calgary, under the supervision of Peter Høyer.
news
| Jul 30, 2026 | Our new paper “Learning Arbitrary Lindbladians from Time Evolution” has been posted on arXiv. |
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| Jul 04, 2026 | Our new paper “On estimating operator norm distance, with optimal trace distance estimation when one state is pure” has been posted on arXiv and accepted as a talk at ESA 2026. |
| Jun 18, 2026 | Our new paper “Near-Optimal Learning of Local Lindbladians” has been posted on arXiv. |
| Jun 04, 2026 | Our work “Simultaneous Estimation of Nonlinear Functionals of a Quantum State” has been accepted by IEEE Transactions on Information Theory. |
| Oct 26, 2025 | Our book “A Gentle Introduction to Quantum Machine Learning” has been published by Springer Nature. |