83 citations · 734 across the 57 of their papers we have counts for
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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…
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
Zhepeng Wang, Zhiding Liang, Shanglin Zhou +3
With the constant increase of the number of quantum bits (qubits) in the actual quantum computers, implementing and accelerating the prevalent deep learning on quantum computers ar…
When Machine Learning Meets Quantum Computers: A Case Study
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
Along with the development of AI democratization, the machine learning approach, in particular neural networks, has been applied to wide-range applications. In different applicatio…
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
Despite the pursuit of quantum advantages in various applications, the power of quantum computers in neural network computations has mostly remained unknown, primarily due to a mis…