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quant-ph2021★ 12 cited
A quantum algorithm for training wide and deep classical neural networks
Alexander Zlokapa, Hartmut Neven, Seth Lloyd
Given the success of deep learning in classical machine learning, quantum algorithms for traditional neural network architectures may provide one of the most promising settings for…
quant-ph2021
Entangling Quantum Generative Adversarial Networks
Murphy Yuezhen Niu, Alexander Zlokapa, Michael Broughton +4
Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio gener…