There is a strong hope (and hype) that Quantum Computers  will help Machine Learning in many ways. Research in Quantum Machine Learning (QML) is a very active domain, and many small and noisy quantum computers are now available. Different approaches exist, for both long term and short term. Jonas Landman is a top practitioner in this emerging field, he is ideally positioned to share with us what are their respective advantages and limitations, both in theory and in practice.
After a View on Quantum radars, check our second post in our “Perspectives” series, on the science and reality of QML