6 papers
Trust Region Bayesian Optimization of Annealing Schedules on a Quantum Annealer
Seon-Geun Jeong, Mai Dinh Cong, Minh-Duong Nguyen +3
Quantum annealing (QA) is a practical model of adiabatic quantum computation, already realized on hardware and considered promising for combinatorial optimization. However, its per…
Embedding-Aware Noise Modeling of Quantum Annealing
Seon-Geun Jeong, Mai Dinh Cong, Dae-Il Noh +2
Quantum annealing provides a practical realization of adiabatic quantum computation and has emerged as a promising approach for solving large-scale combinatorial optimization probl…
Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation
Le-Tuan Nguyen, Minh-Duong Nguyen, Seon-Geun Jeong +2
With the rapid emergence of foundation models and the increasing need for fine-tuning across distributed environments, Federated Low-Rank Adaptation (FedLoRA) has recently gained s…
Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
Seon-Geun Jeong, Kyeong-Hwan Moon, Won-Joo Hwang
Protein-ligand binding affinity is critical in drug discovery, but experimentally determining it is time-consuming and expensive. Artificial intelligence (AI) has been used to pred…
Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems
Doan Hieu Nguyen, Xuan Tung Nguyen, Seon-Geun Jeong +3
A sophisticated hybrid quantum convolutional neural network (HQCNN) is conceived for handling the pilot assignment task in cell-free massive MIMO systems, while maximizing the tota…
Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks
Seon-Geun Jeong, Pham Dang Anh Duc, Quang Vinh Do +7
In wireless communication networks, it is difficult to solve many NP-hard problems owing to computational complexity and high cost. Recently, quantum annealing (QA) based on quantu…