Yuxuan Du
- QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines
2022/05/24 by Z.-F. Zhou, Yuxuan Du, Zhou, Zeqiao +5 · 11 citations
Computer Science · #Quantum Computing Algorithms and Architecture #Cloud Computing and Resource Management #Complexity and Algorithms in Graphs
- Recent Advances for Quantum Neural Networks in Generative Learning
2022/06/07 by Jinkai Tian, Tian, Jinkai, Xiaoyu Sun +25 · 9 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- On the learnability of quantum neural networks
2020/07/24 by Yuxuan Du, Du, Yuxuan, Min-Hsiu Hsieh +7 · 4 citations
Computer Science · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques
- The dilemma of quantum neural networks
2021/06/09 by Xinbiao Wang, Qian, Yang, Wang, Xinbiao +6 · 3 citations
Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques
- On exploring the potential of quantum auto-encoder for learning quantum systems
2021/06/29 by Yuxuan Du, Du, Yuxuan, Dacheng Tao +1 · 2 citations
Computer Science · Engineering · #Quantum Computing Algorithms and Architecture #Advancements in Semiconductor Devices and Circuit Design #Quantum Information and Cryptography
- Unentangled quantum reinforcement learning agents in the OpenAI Gym
2022/03/27 by Jen-Yueh Hsiao, Hsiao, Jen-Yueh, Yuxuan Du +7 · 2 citations
Computer Science · Engineering · #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Advancements in Semiconductor Devices and Circuit Design
- Multimodal deep representation learning for quantum cross-platform verification
2023/11/07 by Qian Yang, Qian, Yang, Yuxuan Du +7 · 3 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- DyRep: Bootstrapping Training with Dynamic Re-parameterization
2022/03/24 by Tao Huang, Shan You, Huang, Tao +10 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)
- CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation
2025/05/21 by Yuxuan Du, Zhendong Wang, Du, Yuxuan +10 · 3 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Image Enhancement Techniques
- Rethink the Role of Deep Learning towards Large-scale Quantum Systems
2025/05/20 by Yusheng Zhao, Chi Zhang, Zhao, Yusheng +3 · 3 citations
Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Stochastic Pauli-path simulator for large-scale quantum optimization
2026/07/20 by Kaining Zhang, Xinbiao Wang, Kunsheng Li +4
#quant-ph
- OmniQEC: discovering practical quantum error-correcting codes by an AI scientist
2026/07/28 by Ge Yan, Shanchuan Li, Pengyue Ma +5
#quant-ph #cs.AI #cs.MA
- KQFuzz: Knowledge-Guided Fuzzing for Quantum Libraries via Large Language Models
2026/07/28 by Fuyuan Xia, Qixin Zhang, Chenhao Ying +5
#cs.SE #cs.AI #cs.MA #quant-ph