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Quantum activation functions for quantum neural networks
Here we fill this gap with a quantum algorithm which is capable to approximate any analytic activation functions to any given order of its power series.
Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer
We show that the learning based on reverse annealing quickly raises the sampling probability of a meaningful subset of the set of the configurations.
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