The focus on fast and efficient computation models in machine learning community in the past decade has expanded at a high rate.
This is of paramount importance from both theoretical and practical point of views since it greatly improves
the cost/benefit of learning, especially in this era of `Big Data’.
By the same token, several major areas of computational science, such as quantum computing, have enjoyed significant growth due to
the applications arising in machine learning.
The goal of this workshop is to bring together researchers interested in all aspects of quantum computation models
and their use in machine learning.
It promotes the cross-fertilizing exchange of ideas and experiences among researchers from the
communities of machine learning and quantum computing interested in the foundations and applications of
quantum computation models and machine learning.
The workshop will consist of fourth invited talks.
The talks by the invited speakers are intended to cover some computational models in machine learning and quantum computing.
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