7 citations · 8 across the 5 of their papers we have counts for
5 papers
Research progress on quantum neural networks and quantum machine learning
Yifan Sun, Boyuan Sun, Jiameng Tian +1
Machine learning holds fundamental computational significance due to the increasing demand for efficient solutions to complex tasks in data analysis, pattern recognition, and optim…
Quantum Next-Generation Reservoir Computing and Its Quantum Optical Implementation
Longhan Wang, Peijie Sun, Ling-Jun Kong +2
Quantum reservoir computing (QRC) exploits the information-processing capabilities of quantum systems to tackle time-series forecasting tasks, which is expected to be superior to t…
Suppression of heading errors in Bell-Bloom optically pumped free-induction-decay alkali-metal atomic magnetometers
Siqi Liu, Xueke Wang, Xiangdong Zhang +2
Heading errors of atomic magnetometers refer to the dependence of measurement results on the sensor orientation with respect to the external magnetic field. There are three main so…
Measurement-based quantum convolutional neural network for deep learning
Yifan Sun, Xiangdong Zhang
Recently, quantum convolutional neural networks (QCNNs) are proposed, harnessing the power of quantum computing for faster training compared to the classical counterparts. However,…
Correlated Optical Convolutional Neural Network with Quantum Speedup
Yifan Sun, Qian Li, Ling-Jun Kong +1
Compared with electrical neural networks, optical neural networks (ONNs) have the potentials to break the limit of the bandwidth and reduce the consumption of energy, and therefore…