Yulong Dong
Yulong Dong

PhD in Applied Mathematics, University of California, Berkeley

Research Scientist @ Bytedance Research US, ex-Google Research

Quantum Algorithm, Quantum Calibration, Optimization and Learning

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About Me

I earned my PhD in Applied Mathematics from the department of Mathematics, UC Berkeley. I was coadvised by Prof. Lin Lin and Prof. K. Birgitta Whaley. My research interest lies broadly in quantum algorithms, optimization theory, numerical analysis, and statistical inference and learning. I did two internships at Google Research where I worked with Dr. Murphy Niu at the intersection of quantum algorithms and quantum metrology. Currently, I am a research scientist at Bytedance Research, San Jose CA, USA.

I am on the academic job market this year. Please feel free to reach out with any opportunities!

News

  • [Aug 24] I will give contributed talks at U Maryland, SIAM Quantum Intersections Convening, and APQC 2024, all in October.
  • [May 24] I am invited to give a talk in the department colloquium at UCSB in June.
  • [Apr 24] Our work has been accepted as a contributed talk at [TQC 2024] (top conference in quantum computing).

QSPPACK

During my PhD studies, I had the privilege of leading a series of theoretical and numerical advancements in Quantum Signal Processing (QSP). This work has significantly improved the efficiency of solving scientific computing problems on quantum computers.

I co-developed the QSPPACK software package, which has received widespread recognition within the community. For those interested in starting with quantum scientific computing using QSP, I recommend exploring these tutorials on QSPPACK website and my PhD dissertation.

Education

  • University of California, Berkeley
    Aug. 2018 - Dec. 2023
    • Ph.D. in Applied Mathematics, Department of Mathematics
    • Advisors: Professor Lin Lin (Mathematics) and Professor K. Birgitta Whaley (Chemistry)
    • Overall GPA: 4.00/4.00, Core courses (all with A or A+):
      • MATH: Num Diff Eqn (228A/B), Num Lin Alg (221), Manifold (214), Quant Algo (275)
      • STAT: Adv Prob Theo (C205A), Stat Learn Theo (C281A), Appl Data Sci (C200)
      • PHYS: Quant Mech (221A/B), Stat Mech (211, 212), Adv E&M (209), Quant Theo of Solids (240A)

  • University of Science and Technology of China (USTC)
    Sep. 2014 - Jul. 2018
    • B.S. in Chemical Physics, with honor, Department of Chemical Physics
    • Overall GPA: 4.07/4.30 (93.69/100) 178.5 credits

Patents

  1. Quantum signal processing methods and systems for composite quantum gate calibration.
    with Murphy Yuezhen Niu, Vadim Smelyanskiy @ Google [US Patent App. 18/319,947]

Publications and Preprints

→ Full list is referred to Google Scholar

* stands for stands for co-first authorship in non alphabetical convention

  1. Feedforward Quantum Singular Value Transformation
    Yulong Dong, Dong An, and Murphy Yuezhen Niu.

  2. Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution
    Yulong Dong, Lin Lin.

  3. SISC Robust iterative method for symmetric quantum signal processing in all parameter regimes
    Yulong Dong, Lin Lin, Hongkang Ni, and Jiasu Wang.
    Accepted by SIAM Journal on Scientific Computing

  4. Robust ground-state energy estimation under depolarizing noise
    Zhiyan Ding, Yulong Dong*, Yu Tong, and Lin Lin.

  5. TQC'24 Low-Depth Signal-Processing Phase Estimation against Time-dependent Errors
    Yulong Dong, Jonathan Gross, and Murphy Yuezhen Niu.
    [TQC 2024]

  6. Infinite quantum signal processing
    Yulong Dong, Lin Lin, Hongkang Ni, and Jiasu Wang.

  7. Measuring fairness in large-scale recommendation systems with missing labels
    Yulong Dong, Kun Jin, Xinghai Hu, and Yang Liu.

  8. PRX Quantum Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices
    Yulong Dong, Lin Lin, Yu Tong.

  9. Quantum On the energy landscape of symmetric quantum signal processing
    Jiasu Wang, Yulong Dong, Lin Lin.

  10. npj QI A Quantum Hamiltonian Simulation Benchmark
    Yulong Dong, K Birgitta Whaley, Lin Lin.

  11. PRA Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark
    Yulong Dong, Lin Lin.

  12. PRA Efficient phase-factor evaluation in quantum signal processing
    Yulong Dong, Xiang Meng, K. Birgitta Whaley, Lin Lin.

  13. IFAC'19 Robust control optimization for quantum approximate optimization algorithm
    Yulong Dong, Xiang Meng, Lin Lin, Robert Kosut, K. Birgitta Whaley.

Teaching

  • University of California, Berkeley
    • Math 16A: Analytic Geometry and Calculus, Spring 2023
    • Math 54: Linear Algebra and Differential Equations, Fall 2022
    • CS C191: Quantum Information Science and Technology, Spring 2020
    • Chem 1A: General Chemistry, Spring 2019

  • University of Science and Technology of China
    • Linear Algebra B1, Fall 2017
    • Quantum Physics, Spring 2017

Awards & Honors

  • 2018 Honor for Graduation at USTC
  • 2017 Guo Moruo Scholarship, USTC
  • 2016 National Scholarship of China
  • 2015 National Scholarship of China