About

My name is Senrui Chen. I am an IQIM Postdoctoral Scholar at Caltech, hosted by Hsin-Yuan Huang and John Preskill. I obtained PhD in Quantum Science and Engineering from the Pritzker School of Molecular Engineering at UChicago in 2025, advised by Liang Jiang. 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 $\dagger$.

• Randomized measurements for multi-parameter quantum metrology
  Sisi Zhou, Senrui Chen
  PRX Quantum, 2026
  [arXiv] [PRX Quantum] [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)
  PRX Quantum, 2026
  [arXiv] [PRX Quantum] [Slides at QIP] [Codes]
• Efficient benchmarking of logical magic state
  Su-un Lee^$\dagger$, Ming Yuan^$\dagger$, Senrui Chen, Kento Tsubouchi, Liang Jiang
  Physical Review Letters, 2026 (accepted)
  [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
  Science, 2025
  [arXiv] [Science]
• 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

• Efficient learning of logical noise from syndrome data
  Han Zheng, Chia-Tung Chu, Senrui Chen, Argyris Giannisis Manes, Su-un Lee, Sisi Zhou, Liang Jiang
  arXiv: 2601.22286 (2026)
  [arXiv]
• Random purification channel for passive Gaussian bosons
  Francesco Anna Mele, Filippo Girardi, Senrui Chen, Marco Fanizza, Ludovico Lami
  arXiv: 2512.16878 (2025)
  [arXiv]
• 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]
• 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]

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