Zhikuan Zhao

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Gaussian processes (GP) are a widely used model for regression problems in supervised machine learning. Implementation of GP regression typically requires O(n 3) logic gates. We show that the quantum linear systems algorithm [Harrow et al., Phys. Rev. Lett. 103, 150502 (2009)] can be applied to Gaussian process regression (GPR), leading to an exponential(More)
  • 1