Hanrui Wang's PhD Defense, Toward Practical Quantum Computing Systems @ MIT

Hanrui Wang completed his PhD degree from MIT EECS in May 2024, advised by Prof. Song Han. He received his Bachelor of Engineering degree from Fudan University in 2018 and Master of Science degree from MIT in 2020. His research focuses on architecture and system-level supports for quantum computing, and AI for quantum. His work appears in conferences such as ISCA, MICRO, HPCA, QCE, DAC, ICCAD, and NeurIPS and has been recognized by the QCE 2023 Best Paper Award, ICML RL4RL 2019 Best Paper Award, ACM Student Research Competition 1st Place Award, Best Poster Award at NSF AI Institute, Best Demo Award at DAC University Demo, MLCommons Rising Star in ML and Systems, and ISSCC 2024 Rising Star. His work is supported by the Qualcomm Innovation Fellowship, Baidu Fellowship, and Unitary Fund. He is the creator of the TorchQuantum library, which has been adopted by the IBM Qiskit Ecosystem and PyTorch Ecosystem with 1.2K+ stars on GitHub. He is passionate about teaching and has served as a course developer and co-instructor for a new course on efficient ML and quantum computing at MIT. He is also the co-founder of the QuCS "Quantum Computer Systems" forum for quantum education.