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-Inspired Portfolio Optimization In The QUBO Framework
Ying-Chang Lu, Chao-Ming Fu, Lien-Po Yu +2
A quantum-inspired optimization approach is proposed to study the portfolio optimization aimed at selecting an optimal mix of assets based on the risk-return trade-off to achieve t…
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…