Assistant Professor in ECE and Math (Courtesy), University of Michigan
PhD in Applied Mathematics, University of California, Berkeley
Quantum Computing, Applied Mathematics, Optimization and Learning
About Me
I earned my PhD in Applied Mathematics from the Department of Mathematics, UC Berkeley. During my PhD study, I did two internships at Google Research, Quantum AI Lab, where I worked on quantum metrology.
My research interest lies broadly in quantum algorithms, quantum sensing, optimization theory, machine learning, numerical analysis, and scientific computing.
Talks
Learning and Calibrating Quantum Systems.
Multi-Level Quantum Signal Processing.
QSPPACK
I co-developed the QSPPACK software package, which has received widespread recognition within the community.
This work has significantly improved the efficiency of solving scientific computing problems on quantum computers.
I recommend exploring the tutorials on the QSPPACK website to get started with the state-of-the-art (SOTA) Solver for Quantum Signal Processing (QSP).
Education
| University of California, Berkeley | Aug. 2018 - Dec. 2023 |
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| University of Science and Technology of China (USTC) | Sep. 2014 - Jul. 2018 |
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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
Ensemble-Based Quantum Signal Processing for Error Mitigation
Suying Liu, Yulong Dong, Dong An, and Murphy Yuezhen Niu.Rethinking Quantum Noise in Quantum Machine Learning: When Noise Improves Learning
Linghua Zhu, Yulong Dong, Ziyu Zhang, and Xiaosong Li.In Situ Quantum Analog Pulse Characterization via Structured Signal Processing
Yulong Dong, Christopher Kang, and Murphy Yuezhen Niu.Nature Communications Optimal Low-Depth Quantum Signal-Processing Phase Estimation
Yulong Dong, Jonathan Gross, and Murphy Yuezhen Niu.
[Talk @ TQC 2024]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.SIAM J Sci Comp Robust iterative method for symmetric quantum signal processing in all parameter regimes
Yulong Dong, Lin Lin, Hongkang Ni, and Jiasu Wang.Robust ground-state energy estimation under depolarizing noise
Zhiyan Ding, Yulong Dong*, Yu Tong, and Lin Lin.Quantum Infinite quantum signal processing
Yulong Dong, Lin Lin, Hongkang Ni, and Jiasu Wang.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.
Awards & Honors
- 2020, 2023 Graduate Division Conference Travel Grant, UC Berkeley
- 2018 Honor for Graduation at USTC
- 2017 Guo Moruo Scholarship, USTC
- 2016 National Scholarship of China
- 2015 National Scholarship of China