4 papers
Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
Ming-Fong Sie, Yen-Jui Chang, Chien-Lung Lin +2
Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning in terms of computation time and maintaining prediction accuracy. We p…
Quantum Embedding with Transformer for High-dimensional Data
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
Quantum embedding with transformers is a novel and promising architecture for quantum machine learning to deliver exceptional capability on near-term devices or simulators. The res…
Hybrid Quantum Neural Network in High-dimensional Data Classification
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
The research explores the potential of quantum deep learning models to address challenging machine learning problems that classical deep learning models find difficult to tackle. W…
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
Quantum computing holds great potential for advancing the limitations of machine learning algorithms to handle higher dimensions of data and reduce overall training parameters in d…