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06/01/2018
Adversarial quantum circuit learning for pure state approximation
Adversarial learning is one of the most successful approaches to modelli...
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11/09/2017
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
The goal of this paper is to demonstrate a method for tensorizing neural...
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10/02/2017
Learning hard quantum distributions with variational autoencoders
Studying general quantum many-body systems is one of the major challenge...
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10/12/2016
Deep disentangled representations for volumetric reconstruction
We introduce a convolutional neural network for inferring a compact dise...
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12/04/2015
