PhD in Applied Mathematics, University of California, Berkeley

Research Scientist @ Bytedance Research US, ex-Google Research

Quantum Algorithm, Quantum Calibration, Optimization and Learning

## 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**)

- MATH: Num Diff Eqn (

**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

- 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

Feedforward Quantum Singular Value Transformation

**Yulong Dong**, Dong An, and Murphy Yuezhen Niu.Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution

**Yulong Dong**, Lin Lin.**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 ComputingRobust ground-state energy estimation under depolarizing noise

Zhiyan Ding,**Yulong Dong***, Yu Tong, and Lin Lin.**TQC'24**Low-Depth Signal-Processing Phase Estimation against Time-dependent Errors

**Yulong Dong**, Jonathan Gross, and Murphy Yuezhen Niu.

[TQC 2024]Infinite quantum signal processing

**Yulong Dong**, Lin Lin, Hongkang Ni, and Jiasu Wang.Measuring fairness in large-scale recommendation systems with missing labels

**Yulong Dong**, Kun Jin, Xinghai Hu, and Yang Liu.**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.**Quantum**On the energy landscape of symmetric quantum signal processing

Jiasu Wang,**Yulong Dong**, Lin Lin.**npj QI**A Quantum Hamiltonian Simulation Benchmark

**Yulong Dong**, K Birgitta Whaley, Lin Lin.**PRA**Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark

**Yulong Dong**, Lin Lin.**PRA**Efficient phase-factor evaluation in quantum signal processing

**Yulong Dong**, Xiang Meng, K. Birgitta Whaley, Lin Lin.**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