Efficient AI Computing,
Transforming the Future.

Hanrui Wang

Ph.D

(Graduated)

Hanrui Wang is a final-year Ph.D. student at MIT EECS advised by Prof. Song Han. His research focuses on quantum computer architecture, ML for quantum. His research has been recognized by ACM student research competition 1st place award, best poster award at NSF AI Institute, Best Presentation Award as a DAC Young Fellow and appears in top conferences such as MICRO, HPCA, DAC, ICCAD and NeurIPS. His co-authored paper received ICML RL4RL Best Paper Award. He is the recipient of Qualcomm Fellowship, Unitary Fund, and Nvidia Fellowship Finalist. He is the creator of TorchQuantum library which has been adopted by IBM Qiskit Ecosystem and Nvidia cuQuantum Appliance. He is also the co-founder of QuCS lecture series for quantum education.

Honors and Fellowships

Hanrui Wang
received
the 2020 DAC Young Fellowship
.
Hanrui Wang
received
the 2020 Nvidia Graduate Fellowship Finalist
.
Hanrui Wang
received
the 2021 Analog Devices Outstanding Student Designer Award
.

Competition Awards

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Awards

Hanrui WangSpAtten
team
received
the Best University Demo Award
of
DAC 2023
for “An Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination” in collaboration with Anantha Chandrakasan’s team
.
SpAtten
Hanrui Wang
team
received
the 2022 NSF AI Institute Best Poster Award rank #1
of
.
Hanrui Wang
team
received
the Young Fellow Best Presentation Award
of
DAC 2020
.

Open source projects with over 1K GitHub stars

Projects

Blog Posts

Talks

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