Advances in quantum machine learning

TL;DR

This paper reviews recent progress in quantum machine learning, highlighting algorithms, experiments, and future research directions, while noting the field's promising outlook and existing challenges.

Contribution

It provides a comprehensive overview of current quantum machine learning algorithms and experimental implementations, and suggests future research directions.

Findings

Quantum machine learning shows significant promise.

There are notable hurdles before it becomes a primary quantum application.

The field's outlook remains positive.

Abstract

Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experimental implementations in the discussion. The field's outlook is generally positive, showing significant promise. However, we believe there are appreciable hurdles to overcome before one can claim that it is a primary application of quantum computation.