24 citations · 30 across the 6 of their papers we have counts for
7 papers
PGKET: A Photonic Gaussian Kernel Enhanced Transformer
Ren-Xin Zhao
Self-Attention Mechanisms (SAMs) enhance model performance by extracting key information but are inefficient when dealing with long sequences. To this end, a photonic Gaussian Kern…
QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing
Ren-Xin Zhao
Natural Language Processing (NLP) faces challenges in the ability to quickly model polysemous words. The Grover's Algorithm (GA) is expected to solve this problem but lacks adaptab…
HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure
Ren-Xin Zhao, Xinze Tong, Shi Wang
Parameterized Quantum Circuits (PQCs) with fixed structures severely degrade the performance of Quantum Machine Learning (QML). To address this, a Hybrid Quantum-Classical Classifi…
QAHAN: A Quantum Annealing Hard Attention Network
Ren-Xin Zhao
Hard Attention Mechanisms (HAMs) effectively filter essential information discretely and significantly boost the performance of machine learning models on large datasets. Neverthel…
Quantum Adjoint Convolutional Layers for Effective Data Representation
Ren-Xin Zhao, Shi Wang, Yaonan Wang
Quantum Convolutional Layer (QCL) is considered as one of the core of Quantum Convolutional Neural Networks (QCNNs) due to its efficient data feature extraction capability. However…
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…