1 citations · 2 across the 2 of their papers we have counts for
2 papers
quant-ph2023★ 1 cited
Asynchronous training of quantum reinforcement learning
Samuel Yen-Chi Chen
The development of quantum machine learning (QML) has received a lot of interest recently thanks to developments in both quantum computing (QC) and machine learning (ML). One of th…
quant-ph2022★ 1 cited
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse
Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer +1
Quantum computing (QC) promises significant advantages on certain hard computational tasks over classical computers. However, current quantum hardware, also known as noisy intermed…