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20212025
most citedA review of Quantum Neural Networks: Methods, Models, Dilemma

24 citations · 44 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2024★ 2 cited

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…

quant-ph2024★ 4 cited

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…

quant-ph2024★ 4 cited

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…

quant-ph2023

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…

quant-ph2022★ 10 cited

QSAN: A Near-term Achievable Quantum Self-Attention Network

Jinjing Shi, Ren-Xin Zhao, Wenxuan Wang +2

Self-Attention Mechanism (SAM) is good at capturing the internal connections of features and greatly improves the performance of machine learning models, espeacially requiring effi…

cs.ET2021★ 24 cited

A review of Quantum Neural Networks: Methods, Models, Dilemma

Renxin Zhao, Shi Wang

The rapid development of quantum computer hardware has laid the hardware foundation for the realization of QNN. Due to quantum properties, QNN shows higher storage capacity and com…