44 citations · 106 across the 15 of their papers we have counts for
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quant-ph2020★ 44 cited
Toward Trainability of Quantum Neural Networks
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu +1
Quantum Neural Networks (QNNs) have been recently proposed as generalizations of classical neural networks to achieve the quantum speed-up. Despite the potential to outperform clas…
cs.RO2020
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Zhihao Cheng, Liu Liu, Aishan Liu +3
Imitation learning from observation (LfO) is more preferable than imitation learning from demonstration (LfD) due to the nonnecessity of expert actions when reconstructing the expe…
quant-ph2020★ 12 cited
Quantum Gram-Schmidt Processes and Their Application to Efficient State Read-out for Quantum Algorithms
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu +1
Many quantum algorithms that claim speed-up over their classical counterparts only generate quantum states as solutions instead of their final classical description. The additional…