no code implementations • 22 Jul 2019 • Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm.
3 code implementations • 2 Apr 2018 • Maria Schuld, Alex Bocharov, Krysta Svore, Nathan Wiebe
In this paper, we propose a low-depth variational quantum algorithm for supervised learning.
Quantum Physics
2 code implementations • 5 Apr 2016 • Thomas Häner, Damian S. Steiger, Krysta Svore, Matthias Troyer
For each layer of the stack, we discuss the underlying methods for compilation and optimization.
Programming Languages Quantum Physics D.2.2; D.2.6
2 code implementations • 9 Jan 2014 • Nathan Wiebe, Ashish Kapoor, Krysta Svore
In the worst case, our quantum algorithms lead to polynomial reductions in query complexity relative to the corresponding classical algorithm.
Quantum Physics
