no code implementations • 20 Feb 2024 • Hao-Yuan Chen, Yen-Jui Chang, Shih-wei Liao, Ching-Ray Chang
Quantum embedding with transformers is a novel and promising architecture for quantum machine learning to deliver exceptional capability on near-term devices or simulators.
no code implementations • 2 Dec 2023 • Hao-Yuan Chen, Yen-Jui Chang, Shih-wei Liao, Ching-Ray Chang
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.
1 code implementation • 20 Apr 2023 • Hao-Yuan Chen, Yen-Jui Chang, Shih-wei Liao, Ching-Ray Chang
This study uses a trainable variational quantum circuit (VQC) on a gate-based quantum computing model to investigate the potential for quantum benefit in a model-free reinforcement learning problem.