Quantum Architecture Search via Deep Reinforcement Learning

1 code implementation • 15 Apr 2021 • 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.

reinforcement-learning Reinforcement Learning (RL)

Quantum Long Short-Term Memory

no code implementations • 3 Sep 2020 • Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang

Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established.