Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning

23 Apr 2019Max WilsonThomas VandalTad HoggEleanor Rieffel

We present an algorithm for learning a latent variable generative model via generative adversarial learning where the canonical uniform noise input is replaced by samples from a graphical model. This graphical model is learned by a Boltzmann machine which learns low-dimensional feature representation of data extracted by the discriminator... (read more)

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