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PhysRevLett 122 040504 by bekkamdinesh9 is a document available to read on EtoBox.
What is PhysRevLett 122 040504 about?
This document discusses the theoretical foundations linking quantum computing and kernel methods in machine learning, proposing new quantum machine learning algorithms. It presents two approaches: one using quantum devices to estimate inner products for classical kernel methods, and another employing variational quantum circuits for classification directly in Hilbert space. The authors illustrate these concepts with a feature map based on squeezing in continuous-variable systems.
- Author
- bekkamdinesh9
- Language
- EN