:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jeong, Seon-Geun, Cong, Mai Dinh, Nguyen, Minh-Duong, Nguyen, Xuan Tung, Pham, Quoc-Viet, Hwang, Won-Joo
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2510.15245
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Embedding-Aware Noise Modeling of Quantum Annealing
by: Jeong, Seon-Geun, et al.
Published: (2025)

Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks
by: Jeong, Seon-Geun, et al.
Published: (2025)

Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation
by: Nguyen, Le-Tuan, et al.
Published: (2025)

Advanced Quantum Annealing for the Bi-Objective Traveling Thief Problem: An $\varepsilon$-Constraint-based Approach
by: Viet, Nguyen Hoang, et al.
Published: (2026)

Federated Domain Generalization with Data-free On-server Matching Gradient
by: Nguyen, Trong-Binh, et al.
Published: (2025)

Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems
by: Nguyen, Doan Hieu, et al.
Published: (2025)

Distortion Resilience for Goal-Oriented Semantic Communication
by: Nguyen, Minh-Duong, et al.
Published: (2023)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
by: Nguyen, Minh-Duong, et al.
Published: (2025)

Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
by: Nguyen, Minh-Duong, et al.
Published: (2025)

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)

D2D Power Allocation via Quantum Graph Neural Network
by: Le, Tung Giang, et al.
Published: (2025)

Graph Neural Networks for Next-Generation-IoT: Recent Advances and Open Challenges
by: Tung, Nguyen Xuan, et al.
Published: (2024)

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
by: Phan, Duc-Thien, et al.
Published: (2025)

Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks under Infeasible Circumstances
by: Tung, Nguyen Xuan, et al.
Published: (2024)

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
by: Pham, Quoc-Viet, et al.
Published: (2020)

Domain Generalization via Pareto Optimal Gradient Matching
by: Do, Khoi, et al.
Published: (2025)

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)

Distributed Graph Neural Network Design for Sum Ergodic Spectral Efficiency Maximization in Cell-Free Massive MIMO
by: Tung, Nguyen Xuan, et al.
Published: (2024)

Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
by: Luu, Minh Ngoc, et al.
Published: (2023)

Multi-Agent Collaboration Mechanisms: A Survey of LLMs
by: Tran, Khanh-Tung, et al.
Published: (2025)

Economic Scheduling of Microgrids With a bi‐Level Model Considering Battery Aging
by: Minh Quoc Nguyen, et al.
Published: (2025)

Variational Autoencoder for Anomaly Detection: A Comparative Study
by: Nguyen, Huy Hoang, et al.
Published: (2024)

Scalable Quantum Message Passing Graph Neural Networks for Next-Generation Wireless Communications: Architectures, Use Cases, and Future Directions
by: Giang, Le Tung, et al.
Published: (2026)

Size‐Dependent Optical Properties and Exciton Self‐Trapping Emission in Carbon Quantum Dots
by: Pham Van Duong, et al.
Published: (2024)

Intelligent Radio Signal Processing: A Survey
by: Pham, Quoc-Viet, et al.
Published: (2020)

Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
by: Pham, Quang Hieu, et al.
Published: (2025)

Epidermoid cyst of the craniovertebral junction—A case report
by: Duong Trung Kien, et al.
Published: (2024)

Beyond C 1 Products: How Single‐Atom Catalysts Contribute to Solar‐Driven CO 2 Reduction into C 2+ Hydrocarbons
by: Nguyen Quoc Thang, et al.
Published: (2025)

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
by: Vu, Thai-Hoc, et al.
Published: (2024)

Hedyotis diffusa Aerial Parts: Essential Oil Composition, Biological Activity, and In Silico Approach
by: Vu Minh Trang, et al.
Published: (2025)

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection
by: Pham, Duc Thanh, et al.
Published: (2025)

Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
by: Le, Tung Quoc, et al.
Published: (2026)

Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
by: Le, Tung Quoc, et al.
Published: (2026)

Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)

GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching
by: Le-Duc, Tung-Duong, et al.
Published: (2026)

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration
by: Qin, Jeremy, et al.
Published: (2024)

Defect Prediction with Content-based Features
by: Pham, Hung Viet, et al.
Published: (2024)

Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
by: Nguyen, Minh-Duong, et al.
Published: (2026)