4 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
QSentry: Backdoor Detection for Quantum Neural Networks via Measurement Clustering
Shuolei Wang, Zimeng Xiao, Jinjing Shi +3
Quantum neural networks (QNNs) are an important model for implementing quantum machine learning (QML), while they demonstrate a high degree of vulnerability to backdoor attacks sim…
QAMA: Scalable Quantum Annealing Multi-Head Attention Operator for Deep Learning
Peng Du, Jinjing Shi, Wenxuan Wang +3
Attention mechanisms underpin modern deep learning, while the quadratic time and space complexity limit scalability for long sequences. To address this, Quantum Annealing Multi-Hea…
Personalized Quantum Federated Learning for Privacy Image Classification
Jinjing Shi, Tian Chen, Shichao Zhang +1
Quantum federated learning has brought about the improvement of privacy image classification, while the lack of personality of the client model may contribute to the suboptimal of…
GQHAN: A Grover-inspired Quantum Hard Attention Network
Ren-Xin Zhao, Jinjing Shi, Xuelong Li
Numerous current Quantum Machine Learning (QML) models exhibit an inadequacy in discerning the significance of quantum data, resulting in diminished efficacy when handling extensiv…
QKSAN: A Quantum Kernel Self-Attention Network
Ren-Xin Zhao, Jinjing Shi, Xuelong Li
Self-Attention Mechanism (SAM) excels at distilling important information from the interior of data to improve the computational efficiency of models. Nevertheless, many Quantum Ma…