About
My name is Senrui Chen. I am a fifth-year PhD student in the Pritzker School of Molecular Engineering at UChicago, advised by Liang Jiang.
My current research intersects quantum learning/sensing/estimation theory and quantum error characterization/mitigation/correction. I am interested in both fundamental theory problems and realistic experimental challenges. My ultimate goal is to push quantum information science towards practical applications.
Email: csenrui at gmail dot com
News
2025.01 I will join Caltech as an IQIM Postdoctoral Scholar starting in the Summer of 2025.
2024.10 I received the 2024 Boeing Quantum Creators Prize, which recognizes early-career researchers for work that moves the field of quantum information science and engineering in new directions!
Selected Papers and Preprints
See Google Scholar for a full list of publications. Co-first authorship is indicated by $\dagger$.
- Quantum learning advantage on a scalable photonic platform
Zheng-Hao Liu, Romain Brunel, Emil E. B. Østergaard, Oscar Cordero, Senrui Chen, Yat Wong, Jens A. H. Nielsen, Axel B. Bregnsbo, Sisi Zhou, Hsin-Yuan Huang, Changhun Oh, Liang Jiang, John Preskill, Jonas S. Neergaard-Nielsen, Ulrik L. Andersen
arXiv: 2502.07770 (2025)
[arXiv] - Randomized measurements for multi-parameter quantum metrology
Sisi Zhou, Senrui Chen
arXiv: 2502.03536 (2025)
[arXiv] - Efficient self-consistent learning of gate set Pauli noise
Senrui Chen, Zhihan Zhang, Liang Jiang, Steven T. Flammia
28th Annual Quantum Information Processing Conference (QIP 2025)
arXiv: 2410.03906 (2024)
[arXiv] [Slides at QIP] - Entanglement-enhanced learning of quantum processes at scale
Alireza Seif$\dagger$, Senrui Chen$\dagger$, Swarnadeep Majumder, Haoran Liao, Derek S. Wang, Moein Malekakhlagh, Ali Javadi-Abhari, Liang Jiang, Zlatko K. Minev
arXiv: 2408.03376 (2024)
[arXiv] - Generalized cycle benchmarking algorithm for characterizing mid-circuit measurements
Zhihan Zhang, Senrui Chen, Yunchao Liu, Liang Jiang
PRX Quantum, 2025
[arXiv] [PRX Quantum] [Slides at March Meeting] - Entanglement-enabled advantage for learning a bosonic random displacement channel
Changhun Oh$\dagger$, Senrui Chen$\dagger$, Yat Wong, Sisi Zhou, Hsin-Yuan Huang, Jens A.H. Nielsen, Zheng-Hao Liu, Jonas S. Neergaard-Nielsen, Ulrik L. Andersen, Liang Jiang, John Preskill
Physical Review Letters, 2024
[arXiv] [PRL] - Tight bounds on Pauli channel learning without entanglement
Senrui Chen, Changhun Oh, Sisi Zhou, Hsin-Yuan Huang, Liang Jiang
Physical Review Letters, 2024
[arXiv] [PRL] - The learnability of Pauli noise
Senrui Chen$\dagger$, Yunchao Liu$\dagger$, Matthew Otten, Alireza Seif, Bill Fefferman, Liang Jiang
Nature Communications, 2023
[arXiv] [Nat Commun] [talk at IBM] [talk at TQC] - Quantum advantages for Pauli channel estimation
Senrui Chen, Sisi Zhou, Alireza Seif, Liang Jiang
Physical Review A, 2022
[arXiv] [PRA] - Robust shadow estimation
Senrui Chen$\dagger$, Wenjun Yu$\dagger$, Pei Zeng, Steve Flammia
PRX Quantum, 2021
[arXiv] [PRX Quantum] [talk at TQC21] - Entanglement-breaking superchannels
Senrui Chen, Eric Chitambar
Quantum, 2020
[arXiv] [Quantum] - One-shot coherence distillation with catalysts
Senrui Chen, Xingjian Zhang, You Zhou, Qi Zhao
Physical Review A, 2019
[arXiv] [PRA]