87 citations · 147 across the 10 of their papers we have counts for
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cs.LG2021
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge +4
Along with the progress of AI democratization, machine learning (ML) has been successfully applied to edge applications, such as smart phones and automated driving. Nowadays, more…
quant-ph2021★ 7 cited
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
Zhiding Liang, Zhepeng Wang, Junhuan Yang +4
In the noisy intermediate-scale quantum (NISQ) era, one of the key questions is how to deal with the high noise level existing in physical quantum bits (qubits). Quantum error corr…