no code implementations • 10 Oct 2019 • I. Rungger, N. Fitzpatrick, H. Chen, C. H. Alderete, H. Apel, A. Cowtan, A. Patterson, D. Munoz Ramo, Y. Zhu, N. H. Nguyen, E. Grant, S. Chretien, L. Wossnig, N. M. Linke, R. Duncan
Here we present a quantum algorithm to perform dynamical mean field theory (DMFT) calculations for condensed matter systems on currently available quantum computers, and demonstrate it on two quantum hardware platforms.
Quantum Physics Strongly Correlated Electrons
1 code implementation • 20 Dec 2018 • D. Zhu, N. M. Linke, M. Benedetti, K. A. Landsman, N. H. Nguyen, C. H. Alderete, A. Perdomo-Ortiz, N. Korda, A. Garfoot, C. Brecque, L. Egan, O. Perdomo, C. Monroe
Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design.
Quantum Physics
no code implementations • 7 Feb 2017 • N. M. Linke, D. Maslov, M. Roetteler, S. Debnath, C. Figgatt, K. A. Landsman, K. Wright, C. Monroe
We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms.
Quantum Physics Emerging Technologies
no code implementations • 15 Mar 2016 • S. Debnath, N. M. Linke, C. Figgatt, K. A. Landsman, K. Wright, C. Monroe
Quantum computers can solve certain problems more efficiently than any possible conventional computer.
Quantum Physics
