Hi! I’m Pengyu Liu, a second-year Ph.D. at CMU in computer science. I am fortunate to be advised by Professor Umut A. Acar. Previously, I finished my undergraduate at Yao Class, Tsinghua University where I was advised by Professor Xiongfeng Ma.
My research interests include quantum computer systems (compiler, optimization and verification), fault-tolerant quantum computing 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
🛡️: Fault Tolerant Quantum Computing
⚛️: Quantum Information
🧮: Quantum Simulation
ConiQ: Enabling Concatenated Quantum Error Correction on Neutral Atom Arrays
- QCE’25
- Pengyu Liu, Mingkuan Xu, Hengyun Zhou, Hanrui Wang, Umut Acar, Yunong Shi
Local Optimization of Quantum Circuits
- QCE’25
- Jatin Arora, Mingkuan Xu, Sam Westrick, Pengyu Liu, Dantong Li, Yongshan Ding and Umut A. Acar
POPQC: Parallel Optimization for Quantum Circuits
- SPAA’25
- Pengyu Liu, Jatin Arora, Mingkuan Xu, Umut A. Acar
GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits
- QCE’24
- Sam Westrick, Pengyu Liu, Byeongjee Kang, Colin McDonald, Mike Rainey, Mingkuan Xu, Jatin Arora, Yongshan Ding, Umut A. Acar
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
- POPL’24
- Yuxiang Peng, Jacob Young, Pengyu Liu, Xiaodi Wu
- Distinguished Paper Nominated
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
Workshops
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
Preprints
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
Teaching Experience
- 2023 Teaching Assistant “General Physics”
- 2022 Teaching Assistant “Quantum Communication and Cryptography”
Working and Exchanging Experiences
- QuEra Computing Incorporated, Boston, MA, Research Intern
- 2025.05-2025.08
- Advised by Dr. Chen Zhao.
- Worked on simulation and decoding of quantum error correction with the presence of atom loss.
- Massachusetts Institute of Technology, Boston, MA, Research Assistant
- 2022.07-2023.06.
- Advised by Prof. Song Han.
- Worked on quantum machine learning and quantum computer architecture.
- University of Maryland, College Park, MD, Research Assistant
- 2022.03-2022.11.
- Advised by Prof. Xiaodi Wu.
- Worked on analog quantum simulation.
Academic Services
- Student Volunteer Quantum Computer System Lecture Series
- Member of organizing committee of Yao Seminar
- Journal Review: TQE, TQC, JDPC
- Conference Review: QCE’24, QCE’25, SPAA’25
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.