no code implementations • 9 Apr 2020 • Alex Bocharov, Michael Freedman, Eshan Kemp, Martin Roetteler, Krysta M. Svore
A school of thought contends that human decision making exhibits quantum-like logic.
1 code implementation • 5 Jul 2018 • Thomas Häner, Mathias Soeken, Martin Roetteler, Krysta M. Svore
Quantum algorithms to solve practical problems in quantum chemistry, materials science, and matrix inversion often involve a significant amount of arithmetic operations which act on a superposition of inputs.
Quantum Physics Emerging Technologies
no code implementations • 23 Nov 2016 • Thomas Häner, Martin Roetteler, Krysta M. Svore
We describe an implementation of Shor's quantum algorithm to factor n-bit integers using only 2n+2 qubits.
Quantum Physics Emerging Technologies
no code implementations • 11 May 2016 • Markus Reiher, Nathan Wiebe, Krysta M. Svore, Dave Wecker, Matthias Troyer
We show how a quantum computer can be employed to elucidate reaction mechanisms in complex chemical systems, using the open problem of biological nitrogen fixation in nitrogenase as an example.
Quantum Physics
no code implementations • NeurIPS 2016 • Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
We demonstrate how quantum computation can provide non-trivial improvements in the computational and statistical complexity of the perceptron model.
no code implementations • 20 Nov 2015 • Nathan Wiebe, Christopher Granade, Ashish Kapoor, Krysta M. Svore
We provide a method for approximating Bayesian inference using rejection sampling.
no code implementations • 9 Jul 2015 • Nathan Wiebe, Ashish Kapoor, Christopher Granade, Krysta M. Svore
We present an efficient classical algorithm for training deep Boltzmann machines (DBMs) that uses rejection sampling in concert with variational approximations to estimate the gradients of the training objective function.
no code implementations • 10 Dec 2014 • Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
In recent years, deep learning has had a profound impact on machine learning and artificial intelligence.
2 code implementations • 18 Feb 2014 • Dave Wecker, Krysta M. Svore
It enables easy programming, compilation, and simulation of quantum algorithms and circuits, and is independent of a specific quantum architecture.
Quantum Physics Emerging Technologies Programming Languages