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High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
Quantum machine learning is touted as a potential approach to demonstrate quantum advantage within both the gate-model and the adiabatic schemes.
Optimizing quantum heuristics with meta-learning
Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation.
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning
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.
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