Daochen Wang

Daochen Wang is an Assistant Professor of Computer Science at the University of British Columbia (UBC), affiliated with the Faculty of Science. His research focuses on quantum computation, quantum algorithms, and quantum cryptography, with an emphasis on understanding quantum speed-ups and their applications.

Education: Ph.D. in Computer Science from the University of Maryland (advisors: Andrew Childs and Carl Miller), BA and MMath in Mathematics from the University of Cambridge.

Research interests include quantum algorithm design, post-quantum cryptography, and the theoretical foundations of quantum computing. His work spans quantum graph algorithms, lattice-based security, and variational quantum eigensolvers.

Teaching includes undergraduate (CPSC 436Q) and graduate (CPSC 536W) courses on quantum computation. He advises PhD student Xingyu Zhou and undergrad Rain Zimin Yang.

Key research contributions include quantum algorithms for reinforcement learning, cryptographic security analysis of post-quantum schemes (e.g., CRYSTALS-Dilithium), and foundational studies on quantum speedups via symmetry analysis.