About

My name is Senrui Chen. I am a fourth-year PhD student in the Pritzker School of Molecular Engineering at UChicago, advised by Liang Jiang.

As a theorist, I explore various quantum applications and tackle realistic problems with their implementation. Things I have been working on include quantum learning theory, quantum system characterization, quantum error mitigation, near-term quantum advantages, etc. I am also generally interested in quantum information theory.

Email: csenrui at uchicago dot edu

Selected Papers

Quantum Learning, Estimation, and Characterization

  • 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
    arXiv: 2402.18809 (2024)
    [arXiv]
  • Tight bounds on Pauli channel learning without entanglement
    Senrui Chen, Changhun Oh, Sisi Zhou, Hsin-Yuan Huang, Liang Jiang
    arXiv: 2309.13461 (2023)
    To appear in Physical Review Letters
    [arXiv]
  • 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]

Quantum Information Theory

  • 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]

See Google Scholar for a full list of publications. Co-first authorship is indicated by $\dagger$.