Quantum Machine Learning in Feature Hilbert Spaces
Author(s): Maria Schuld and Nathan Killoran
A basic idea of quantum computing is surprisingly similar to that of kernel methods in machine learning, namely, to efficiently perform computations in an intractably large Hilbert space. In this Letter we explore some theoretical foundations of this link and show how it opens up a new avenue for th...
[Phys. Rev. Lett. 122, 040504] Published Fri Feb 01, 2019