Publications (29)
Efficient Depth Selection for the Implementation of Noisy Quantum Approximate Optimization Algorithm
Yu Pan, Yifan Tong, Shibei Xue +1
Noise on near-term quantum devices will inevitably limit the performance of Quantum Approximate Optimization Algorithm (QAOA). One significant consequence is that the performance o…
Global Update Guided Federated Learning
Qilong Wu, Lin Liu, Shibei Xue
Federated learning protects data privacy and security by exchanging models instead of data. However, unbalanced data distributions among participating clients compromise the accura…
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation
Xin Liu, Shibei Xue, Dezong Zhao +2
6D object pose estimation is crucial for robotic perception and precise manipulation. Occlusion and incomplete object visibility are common challenges in this task, but existing po…
A gradient algorithm for Hamiltonian identification of open quantum systems
Shibei Xue, Rebing Wu, Dewei Li +1
In this paper, we present a gradient algorithm for identifying unknown parameters in an open quantum system from the measurements of time traces of local observables. The open syst…
Spatial Non-Locality Induced Non-Markovian EIT in a Single Giant Atom
Yuting Zhu, Rebing Wu, Shibei Xue
In recent experiments, electromagnetically induced transparency (EIT) were observed with giant atoms, but nothing unconventional were found from the transmission spectra. In this l…
HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation
Qi Guan, Zihao Sheng, Shibei Xue
Real-time 6D object pose estimation is essential for many real-world applications, such as robotic grasping and augmented reality. To achieve an accurate object pose estimation fro…