5 papers
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Hoang M. Ngo, Tre' R. Jeter, Incheol Shin +3
Quantum Machine Learning (QML) is becoming increasingly prevalent due to its potential to enhance classical machine learning (ML) tasks, such as classification. Although quantum no…
FIDDLE: Reinforcement Learning for Quantum Fidelity Enhancement
Hoang M. Ngo, Tamer Kahveci, My T. Thai
Quantum computing has the potential to revolutionize fields like quantum optimization and quantum machine learning. However, current quantum devices are hindered by noise, reducing…
CHARME: A chain-based reinforcement learning approach for the minor embedding problem
Hoang M. Ngo, Nguyen H K. Do, Minh N. Vu +3
Quantum annealing (QA) has great potential to solve combinatorial optimization problems efficiently. However, the effectiveness of QA algorithms is heavily based on the embedding o…
QOMIC: Quantum optimization for motif identification
Hoang M. Ngo, Tamim Khatib, My T. Thai +1
Network motif identification problem aims to find topological patterns in biological networks. Identifying non-overlapping motifs is a computationally challenging problem using cla…
ATOM: An Efficient Topology Adaptive Algorithm for Minor Embedding in Quantum Computing
Hoang M. Ngo, Tamer Kahveci, My T. Thai
Quantum annealing (QA) has emerged as a powerful technique to solve optimization problems by taking advantages of quantum physics. In QA process, a bottleneck that may prevent QA t…