1 citations · 1 across the 3 of their papers we have counts for
3 papers
quant-ph2026
End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
Xue Yang, Rigui Zhou, Shizheng Jia +5
Quantum Generative Adversarial Networks (QGANs) offer a promising path for learning data distributions on near-term quantum devices. However, existing QGANs for image synthesis avo…
eess.SP2025
A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders
Pengju Ren, Ri-gui Zhou, Yaochong Li
Raman spectroscopy serves as a powerful and reliable tool for analyzing the chemical information of substances. The integration of Raman spectroscopy with deep learning methods ena…
quant-ph2024★ 1 cited
iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation
Xue Yang, Rigui Zhou, ShiZheng Jia +6
Leveraging quantum computing's intrinsic properties to enhance machine learning has shown promise, with quantum generative adversarial networks (QGANs) demonstrating benefits in da…