105 citations · 209 across the 3 of their papers we have counts for
3 papers
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing +2
Recent advance in classical reinforcement learning (RL) and quantum computation (QC) points to a promising direction of performing RL on a quantum computer. However, potential appl…
An end-to-end trainable hybrid classical-quantum classifier
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing +1
We introduce a hybrid model combining a quantum-inspired tensor network and a variational quantum circuit to perform supervised learning tasks. This architecture allows for the cla…
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing +1
One key step in performing quantum machine learning (QML) on noisy intermediate-scale quantum (NISQ) devices is the dimension reduction of the input data prior to their encoding. T…