37 citations · 123 across the 13 of their papers we have counts for
21 papers
Reservoir Computing via Quantum Recurrent Neural Networks
Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh +2
Recent developments in quantum computing and machine learning have propelled the interdisciplinary study of quantum machine learning. Sequential modeling is an important task with…
Quantum deep recurrent reinforcement learning
Samuel Yen-Chi Chen
Recent advances in quantum computing (QC) and machine learning (ML) have drawn significant attention to the development of quantum machine learning (QML). Reinforcement learning (R…
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen +2
The rapid development of quantum computing has demonstrated many unique characteristics of quantum advantages, such as richer feature representation and more secured protection on…
Financial Vision Based Reinforcement Learning Trading Strategy
Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen +1
Recent advances in artificial intelligence (AI) for quantitative trading have led to its general superhuman performance in significant trading performance. However, the potential r…
The Dawn of Quantum Natural Language Processing
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen +2
In this paper, we discuss the initial attempts at boosting understanding human language based on deep-learning models with quantum computing. We successfully train a quantum-enhanc…
Quantum Architecture Search via Deep Reinforcement Learning
En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen
Recent advances in quantum computing have drawn considerable attention to building realistic application for and using quantum computers. However, designing a suitable quantum circ…