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Nanjing University of Information Science and Technology (NUIST) Researchers Hig hlight Recent Research in Machine Learning (Application of Quantum Recurrent Neu ral Network in Low-Resource Language Text Classification) 来自 国家科技图书文献中心 喜欢 0 阅读量: 12 摘要: By a News Reporter-Staff ...
Recurrent gate-model quantum neural network In classical neural networks, backpropagation59,60,61 (backward propagation of errors) is a supervised learning method that allows to determine the gradients to learn the weights in the network. In this section, we show that for a recurrent gate-model ...
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Bondarenko and Feldmann are now trying to develop a different type of quantum algorithm: a recurrent quantum neural network. Thisnew algorithm's recurrent architecture should allow it to store information it processed in the past and have a 'memory," which would allow the researchers to correct ...
superior ability to simulate the computations involved in quantum computing. According to these thinkers, the redundancy of information that happens in two of the most successful neural network types, convolutional neural nets, or CNNs, and recurrent neural networks, or RNNs, makes all the ...
To address these, we adopt machine learning approaches (in particular, recurrent neural networks and reinforcement learning) as proposed in Refs. (Verdon et al. 2019b; Wauters et al. 2020; Warren et al 2020; Yao et al. 2020b). The quantum mechanism of this framework is the best ...
Choi, J., Oh, S., Kim, J.: A tutorial on quantum graph recurrent neural network (QGRNN). In 2021 International Conference on Information Networking (ICOIN) IEEE, pp. 46–49 (2021) Tüuysüz, C., Carminati, F., Demirköz, B., Dobos, D., Fracas, F., Novotny, K., Potamianos...