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Autor:
Heidari, Mohsen, Naved, Mobasshir A, Honjani, Zahra, Xie, Wenbo, Grama, Arjun Jacob, Szpankowski, Wojciech
Gradient-based optimizers have been proposed for training variational quantum circuits in settings such as quantum neural networks (QNNs). The task of gradient estimation, however, has proven to be challenging, primarily due to distinctive quantum fe
Externí odkaz:
http://arxiv.org/abs/2310.06935