Biography
Siyuan Niu comes to UCF from the Computational Research Division at Lawrence Berkeley National Lab, where she served as a postdoctoral fellow. She received her doctoral degree from the Department of Microelectronics at LIRMM, University of Montpellier, France; her master’s in electrical engineering from Polytech Nice Sophia, France; and her bachelor’s degree from Xidian University, China.
Her research focuses on quantum computing, specifically on quantum compilation, quantum error mitigation and correction, quantum algorithm optimization and benchmarking and characterization of quantum systems. Her research has been published in leading journals and conferences in the field of quantum computing, including Quantum, Quantum Science and Technology, IEEE Transactions on Quantum Engineering, DAC, ICCAD and DATE. She is a member of the Berkeley Quantum Synthesis Toolkit, or BQSKit team, contributing to a powerful open-source framework for quantum compilation, with more than 100,000 downloads.
Publications
- Niu, Siyuan, et al. “Effective Quantum Resource Optimization via Circuit Resizing in BQSKit.” Proceedings of the 61st ACM/IEEE Design Automation Conference. 2024.
- Niu, Siyuan, Aida Todri-Sanial, and Nicholas Torleiv Bronn. “Multi-qubit dynamical decoupling for enhanced crosstalk suppression.” Quantum Science and Technology (2024).
- Niu, Siyuan, and Aida Todri-Sanial. “Enabling multi-programming mechanism for quantum computing in the NISQ era.” Quantum 7 (2023): 925.
- Niu, Siyuan, and Aida Todri-Sanial. “Effects of dynamical decoupling and pulse-level optimizations on ibm quantum computers.” IEEE Transactions on Quantum Engineering 3 (2022): 1-10.
- Niu, Siyuan, et al. “A hardware-aware heuristic for the qubit mapping problem in the nisq era.” IEEE Transactions on Quantum Engineering 1 (2020): 1-14.
Research Interests
- Quantum compilation
- Quantum error mitigation and correction
- Quantum algorithm optimization
- Benchmarking and characterization of quantum systems