Quantum embeddings for machine learning
Date:
This talk is about the power of quantum embeddings for machine learning. We identify the optimal measurements to discriminate between clusters of data, and we show how to perform those measurements on existing quantum computers. We show that the performance of such quantum classifiers is completely determined by the quantum feature map that performs the embedding: we use adaptive learning techniques to find optimal quantum feature maps.See talk here