Editing Quantum machine learning (section)

==Introduction==
Quantum computers, when available, are expected to have a great impact on various computational problems. In particular, quantum machine learning is a very active research field in both academia and industry. A large number of quantum machine learning research groups were created in large companies, as well as a number of startups. Their goal is to develop a portfolio of algorithms in various areas such as finance or healthcare to be ready to use when quantum computers will be available.

Similar to their classical counterparts, quantum machine learning algorithms need to be trained on data. This paradigm raises two main security issues that already exist for classical machine learning. On the one hand, the algorithms themselves are produced by investments in research and development. Companies working in the area might not want to make these algorithms public. On the other hand, data required to train those algorithms might be subject to regulation that prevents sharing them.