A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification. (arXiv:2201.01820v1 [cs.LG])

Deep learning is one of the most successful and far-reaching strategies used
in machine learning today. However, the scale and utility of neural networks is
still greatly limited by the current hardware used to train them. These
concerns have become increasingly pressing as conventional computers quickly
approach physical limitations that will slow performance improvements in years
to come. For these reasons, scientists have begun to explore alternative
computing platforms, like quantum computers, for training neural networks. In
recent years, variational …

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