CV

Education

• B.E. in Microelectronic Science and Engineering, Tsinghua University, 2018
• M.S. in Electrical Engineering, University of Southern California, 2020
• Ph.D in Electrical Engineering, University of Southern California, (transferred to Purdue University)
• Ph.D in Computer Science, Purdue University, 2024 (expected)

Publications

Accqoc: Accelerating quantum optimal control based pulse generation

Magneto-Seebeck effect in magnetic tunnel junctions with perpendicular anisotropy

CSE: Parallel finite state machines with convergence set enumeration

Variational quantum pulse learning

Improving quantum classifier performance in nisq computers by voting strategy from ensemble learning

Topgen: Topology-aware bottom-up generator for variational quantum circuits

Quest: Graph transformer for quantum circuit reliability estimation

Hybrid gate-pulse model for variational quantum algorithms

Towards advantages of parameterized quantum pulses

Fidelity estimator, randomized benchmarking and ZNE for quantum pulses

Unleashing the potential of llms for quantum computing: A study in quantum architecture design

Robuststate: Boosting fidelity of quantum state preparation via noise-aware variational training

SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE

NAPA: intermediate-level variational native-pulse ansatz for variational quantum algorithms