:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Jinjing, Chen, Tian, Zhang, Shichao, Li, Xuelong
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.02547
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GQHAN: A Grover-inspired Quantum Hard Attention Network
by: Zhao, Ren-Xin, et al.
Published: (2024)

QAMA: Scalable Quantum Annealing Multi-Head Attention Operator for Deep Learning
by: Du, Peng, et al.
Published: (2025)

QSentry: Backdoor Detection for Quantum Neural Networks via Measurement Clustering
by: Wang, Shuolei, et al.
Published: (2025)

Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
by: Rahman, Ratun, et al.
Published: (2026)

Differentially Private Federated Quantum Learning via Quantum Noise
by: Pokharel, Atit, et al.
Published: (2025)

Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions
by: Rahman, Ratun, et al.
Published: (2025)

QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
by: Shi, Jinjing, et al.
Published: (2024)

AI-Powered Algorithm-Centric Quantum Processor Topology Design
by: Li, Tian, et al.
Published: (2024)

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
by: Li, Pingzhi, et al.
Published: (2024)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
by: Chen, Junhao, et al.
Published: (2025)

A Novel Image Classification Framework Based on Variational Quantum Algorithms
by: Chen, Yixiong
Published: (2023)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)

Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification
by: Xu, Zuyu, et al.
Published: (2024)

Image Denoising with Machine Learning: A Novel Approach to Improve Quantum Image Processing Quality and Reliability
by: Zhou, Yifan, et al.
Published: (2024)

Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
by: Tomal, S. M. Yousuf Iqbal, et al.
Published: (2024)

Fidelity-Preserving Quantum Encoding for Quantum Neural Networks
by: Lu, Yuhu, et al.
Published: (2025)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)

Quantum-Inspired Geometric Classification with Correlation Group Structures and VQC Decision Modeling
by: Mohanty, Nishikanta, et al.
Published: (2026)

Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
by: Murota, Keisuke, et al.
Published: (2025)

Practical Evaluation of Quantum Kernel Methods for Radar Micro-Doppler Classification on Noisy Intermediate-Scale Quantum (NISQ) Hardware
by: Agnihotri, Vikas, et al.
Published: (2026)

It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)

Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction
by: Zhang, Kai, et al.
Published: (2026)

Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
by: Chen, Yixiong, et al.
Published: (2024)

Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
by: Bhatia, Amandeep Singh, et al.
Published: (2024)

Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
by: Saggi, Mandeep Kaur, et al.
Published: (2024)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics
by: Zhang, Jiaji, et al.
Published: (2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
by: Dutta, Siddhant, et al.
Published: (2024)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

Quantum Machine Learning for UAV Swarm Intrusion Detection
by: Chen, Kuan-Cheng, et al.
Published: (2025)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
by: L'Abbate, Ryan, et al.
Published: (2024)

Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
by: Xiao, Wenjing, et al.
Published: (2026)

Quantum Adjoint Convolutional Layers for Effective Data Representation
by: Zhao, Ren-Xin, et al.
Published: (2024)

Purest Quantum State Identification
by: Yu, Yingqi, et al.
Published: (2025)

Regression and Classification with Single-Qubit Quantum Neural Networks
by: Souza, Leandro C., et al.
Published: (2024)

Single-Qudit Quantum Neural Networks for Multiclass Classification
by: Souza, Leandro C., et al.
Published: (2025)

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
by: Chaudhary, Devashish, et al.
Published: (2026)