3 papers
quant-ph2025
Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks
Fanxu Meng, Yuxiang Liu, Lu Wang +3
Quantum kernels hold significant promise for achieving computational advantages in quantum machine learning (QML), yet their effectiveness critically depends on the design of expre…
quant-ph2025
Output Prediction of Quantum Circuits based on Graph Neural Networks
Yuxiang Liu, Fanxu Meng, Lu Wang +3
The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices. Motivated by the natural graph representation of quantum circui…
cs.CV2023
A quantum moving target segmentation algorithm for grayscale video
Wenjie Liu, Lu Wang, Qingshan Wu
The moving target segmentation (MTS) aims to segment out moving targets in the video, however, the classical algorithm faces the huge challenge of real-time processing in the curre…