recent events:
- ACM seminar USC-Columbia
- Hybrid Quantum Classical Algorithms, Nov, 2024
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- " Simons Institute's Workshop on Mathematical Challenges of Quantum Algorithms for Open Quantum Systems "
- Quantum Simulation Algorithms for Lindblad Dynamics. Oct, 2024.
- Youtube video
- " QSIM 2024 "
- Efficient Optimal Control of Open Quantum Systems. Aug, 2024.
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- Youtube video
- Recent Advances in Kinetic Theory: Modeling, Computation and Analysis
- Carleman linearization under low-resonance condition, August, 2024
- "SIAM Conference on Mathematical Aspects of Materials Science "
- Quantum Algorithms for Open Quantum Systems. May, 2024.
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- "APS Marching Meeting"
- Quantum Algorithms for DFT . March, 2024.
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- "Quantum Computer Systems (QuCS) Lecture Series"
- Introduction to Open Quantum System. Oct 19, 2023.
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- ICDS Fall 2023 Symposium: Discover to Impact
- Panel member: The Past, Present and Future of Quantum Computing; Oct 19, 2023.
- Numerical Analysis of Galerkin ROMs (NA G-ROMs)"
- Oct 18, 2023.
- Reduced-order modeling techniques in computational chemistry; Slides; Youtube video
- IPAM workshop on Quantum algorithms for scientific computation
- Oct 2--6, 2023.
- Talk: Open Quantum Systems in Quantum Computing; Slides; Youtube video
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- Fortieth International Conference on Machine Learning
- July 23--28, 2023.
- Talk: "Efficient Quantum Algorithms for Quantum Optimal Control Problems". (paper Link)
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- IPAM workshop on New Mathematics for the Exascale: Applications to Materials Science
- April 17--21, 2023.
- Talk: " A stochastic algorithm for self-consistent calculations in Density-Functional Theory". (Youtube link)
- APS March Meeting
- March, 2023.
- Talk: "Quantum Algorithms for Quantum Optimal Control Problems with Precise Cost Estimates". (APS Link)
- SIAM Annual Meeting
- July 11 - 15, 2022.
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Dynamics Days.
- August 23-27, 2021.
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SIAM Material Science Meeting.
- May 17 - 28, 2021.
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SIAM CSE Meeting
- March 1-5, 2020.
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Teaching
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Math/CSE 551: Numerical Solutions of Differential Equations.
- Solutions of ODEs and SDEs
- ODE/SDE-based Data-Driven methods
- Reduced-order modeling
- Math 452: Deep Learning Algorithms and Analysis
I have organized a workshop on Dimension
Reduction.
Teaching and Mentoring
Current graduate student: He Zhang; Taehee Ko; Yushang
Luo.
Former students: Adam Telatovich;
Weiqi Chu; Xiaojie Wu, Chao Liang.
Rresearch projects for undergraduate students.
Check
back later for summer research projects in 2020.
Our graduate program.
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