ProfessorsProfessors of University of Science and Technology of ChinaShahid Qamar

Shahid Qamar

University of Science and Technology of China

H-index: 10

Asia-China

About Shahid Qamar

Shahid Qamar, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Science and Technology of China, specializes in the field of Qubits Calibration, Control and Estimation, Quantum Feedback Control, Control Systems, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fast Quantum Calibration using Bayesian Optimization with State Parameter Estimator for Non-Markovian Environment

Efficient classical computation of quantum mean values for shallow qaoa circuits

Nonlinear optimal feedback control of the two-level open non-markovian stochastic quantum system

Shahid Qamar Information

University	University of Science and Technology of China
Position	___
Citations(all)	357
Citations(since 2020)	218
Cited By	219
hIndex(all)	10
hIndex(since 2020)	7
i10Index(all)	11
i10Index(since 2020)	6
Email	Access Email
University Profile Page	University of Science and Technology of China
Google Scholar	View Google Scholar Profile

Shahid Qamar Skills & Research Interests

Qubits Calibration

Control and Estimation

Quantum Feedback Control

Control Systems

Artificial Intelligence

Top articles of Shahid Qamar

Title	Journal	Author(s)	Publication Date
Fast Quantum Calibration using Bayesian Optimization with State Parameter Estimator for Non-Markovian Environment	arXiv preprint arXiv:2205.12929	Peng Qian Shahid Qamar Xiao Xiao Yanwu Gu Xudan Chai ...	2022/5/25
Efficient classical computation of quantum mean values for shallow qaoa circuits	arXiv preprint arXiv:2112.11151	Wei-Feng Zhuang Ya-Nan Pu Hong-Ze Xu Xudan Chai Yanwu Gu ...	2021/12/21
Nonlinear optimal feedback control of the two-level open non-markovian stochastic quantum system	Open Systems & Information Dynamics	Shahid Qamar Shuang Cong Kezhi Li Zhixiang Dong Feng Shuang	2021/9/10