Quantum Machine Learning: Things you should know - Think Big Data

Talking about quantum machine learning algorithm is a tricky subject considering the divergent views experts hold on it. Critics consider machine learning to be predominantly a linear algebra subject with little resonance with quantum computing. Proponents comment that the methods of quantum computing can help train datasets that are too large for classical methods. Seth Lloyd of MIT recently gave a talk citing an example. He suggested that analyzing all the topological features for a dataset with 300 300 points will require two to the 300th power processing units, an insolvable computing problem.