About
My name is Senrui Chen. I am an IQIM Postdoctoral Scholar at Caltech. I obtained PhD in Quantum Science and Engineering from the Pritzker School of Molecular Engineering at UChicago in 2025, advised by Liang Jiang. My PhD thesis is Topics in Pauli Channel Learning: Quantum Advantages, Quantum Noise Characterization, and Quantum Error Mitigation. I obtained BEng in Electronic Information Science and Technology from Tsinghua University in 2020.
My current research intersects quantum learning/sensing/estimation theory and quantum error characterization/mitigation/correction. I am also generally interested in quantum information and quantum computation, both for theoretic problems and experimental challenges.
Email: csenrui at gmail dot com
News
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 Publications
See Google Scholar for a full list of publications. Co-first authorship is indicated by $\dagger$.
- 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]
Selected Preprints
- Enhancing quantum noise characterization via extra energy levels
Senrui Chen, Akel Hashim, Noah Goss, Alireza Seif, Irfan Siddiqi, Liang Jiang
arXiv: 2506.09131 (2025)
[arXiv] - Disambiguating Pauli noise in quantum computers
Edward H. Chen$\dagger$, Senrui Chen$\dagger$, Laurin E. Fischer$\dagger$, Andrew Eddins, Luke C. G. Govia, Brad Mitchell, Andre He, Youngseok Kim, Liang Jiang, Alireza Seif
arXiv: 2505.22629 (2025)
[arXiv] - Efficient benchmarking of logical magic state
Su-un Lee$\dagger$, Ming Yuan$\dagger$, Senrui Chen, Kento Tsubouchi, Liang Jiang
arXiv: 2505.09687 (2025)
[arXiv] - 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] [Codes] - 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] [Codes] - 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]