Hi! I’m Pengyu Liu, a second year Ph.D. at CMU major in computer science. I am fortunate to be advised by Professor Umut A. Acar. Previously, I finish my undergraduate at Yao Class, Tsinghua University advised by Professor Xiongfeng Ma.
My research interests includes quantum computer systems (compiler, optimization and verification), quantum error correction and quantum information.
EDUCATION
2023.09-present Carnegie Mellon University
- Ph.D. Student, Computer Science Department
- Advisor: Professor Umut A. Acar
2019.09-2023.06 Tsinghua University
- Institute for Interdisciplinary Information Science, founded by Professor Andrew Yao.
- GPA: 3.98/4.00 (1/30, 4.00/4.00 in all required major courses).
- Advisor: Professor Xiongfeng Ma
Courses with grade A+ (100/100):
- Computational Thinking and System Design Foundations and Practice
- Quantum Computer Science
- Introduction to Databases
- Fundamentals of Physics (3)
- Quantum Communication and Cryptography
- Operating System
- Advanced Quantum Information Theory
- Research Immersion Training
SELECTED AWARDS
- 2023 1st/73 Place of ACM/IEEE Quantum Computing for Drug Discovery Challenge
- 2022-2023 Honored graduate, Beijing
- 2022-2023 Honored graduate, Tsinghua University (2/91)
- 2021-2022 Comprehensive Excellent Award, Tsinghua University
- 2021-2022 Yao Award, Institute for Interdisciplinary Information Sciences.
- 2020-2021 Comprehensive Excellent Award, Tsinghua University
- 2020-2021 Outstanding Youth, Tsinghua University (2/91).
- 2019-2020 Comprehensive Excellent Award, Tsinghua University (1/91, Highest honor).
- 2018 Chinese Physics Olympiad, Gold Medal (Rank 7th national-wide).
More awards
- 2019 Freshman Award, Tsinghua University.
- 2018 Chinese Physics Olympiad (Provincial), First Prize (Rank 1st in Hebei Province).
- 2019 China Undergraduate Physics Tournament, Third Prize.
- 2020-2021 Comprehensive Excellent Award, Tsinghua University.
- 2020-2021 Outstanding Youth, Institute for Interdisciplinary Information Sciences.
PUBLICATIONS
🎛️: Quantum Computing + Compiler
🤖: Quantum Computing + Machine Learning
⚛️: Quantum Information
🧮: Quantum Simulation
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays
- ISCA’24
- Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas
- DAC’24
- Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
SIMUQ: A Domain-Specific Language for Quantum Simulation With Analog Compilation
March 2022-Nov. 2022, UMD
- POPL’24
- Yuxiang Peng, Jacob Young, Pengyu Liu, Xiaodi Wu
- Distinguished Paper Nominated
ResilienQ: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training
- FastML Workshop at ICCAD’23
- Pengyu Liu*, Hanrui Wang*, Yilian Liu*, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Pan, Fred Chong, Song Han
Transformer-QEC: Transferable Transformer for Quantum Error Correction Code Decoding
- FastML Workshop at ICCAD’23
- Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han
Detecting Entanglement in Quantum Many-body Systems via Permutation Moments
- Physical Review Letters 129, 260501 (2022)
- Zhenhuan Liu, Yifan Tang, Hao Dai, Pengyu Liu, Shu Chen, Xiongfeng Ma
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
- ICCAD’22.
- Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han
In Submission
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
- Pengyu Liu* , Hanrui Wang*, Yilian Liu, Jiaqi Gu, Jonathan Baker, Frederic T. Chong, Song Han
GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits
- Sam Westrick, Pengyu Liu, Byeongjee Kang, Colin McDonald, Mike Rainey, Mingkuan Xu, Jatin Arora, Yongshan Ding and Umut Acar
Teaching Experience
- 2023 Teaching Assistant “General Physics”
- 2022 Teaching Assistant “Quantum Communication and Cryptography”
Working and Exchanging Experiences
- Massachusetts Institute of Technology, MA, Remote
- 2022.07-2023.06
- Advised by Prof. Song Han.
- Worked on quantum machine learning and quantum computer architecture.
- University of Maryland, College Park, MD, Remote
- 2022.03-2022.11
- Advised by Prof. Xiaodi Wu.
- Worked on analog quantum simulation.
Academic Services
- Member of organizing committee of Quantum Computer System Lecture Series
- Member of organizing committee of Yao Seminar
- Journal Review: TQE
- Conference Review: OOPSLA, QCE
LEADERSHIP & SOCIAL WORK
- Monitor of Yao Class (Yao Class 91).
- Best Class Award in Tsinghua.
- Vice-chairman of the Student Warm&Love Association.
- Best-10 Association in Tsinghua.
