Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantum-assisted Helmholtz machines: A quantum-classical deep learning
  framework for industrial datasets in near-term devices   Machine learning has been presented as one of the key applications for
near-term quantum technologies, given its high commercial value and wide range
of applicability. In this work, we introduce the \textit{quantum-assisted
Helmholtz machine:} a hybrid quantum-classical framework with the potential of
tackling high-dimensional real-world machine learning datasets on continuous
variables. Instead of using quantum computers only to assist deep learning, as
previous approaches have suggested, we use deep learning to extract a
low-dimensional binary representation of data, suitable for processing on
relatively small quantum computers. Then, the quantum hardware and deep
learning architecture work together to train an unsupervised generative model.
We demonstrate this concept using 1644 quantum bits of a D-Wave 2000Q quantum
device to model a sub-sampled version of the MNIST handwritten digit dataset
with 16x16 continuous valued pixels. Although we illustrate this concept on a
quantum annealer, adaptations to other quantum platforms, such as ion-trap
technologies or superconducting gate-model architectures, could be explored
within this flexible framework.

7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph