Robust online Hamiltonian learning
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Robust online Hamiltonian learning
CE Granade, C Ferrie, N Wiebe, DG Cory - New Journal of Physics, 2012 - osti.gov
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
[PDF][PDF] Robust online Hamiltonian learning
CE Granade, C Ferrie, N Wiebe… - New Journal of Physics, 2012 - cyberleninka.org
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Robust Online Hamiltonian Learning
C Granade, C Ferrie, N Wiebe, D Cory - Bulletin of the American Physical …, 2013 - APS
In this talk, we introduce a machine-learning algorithm for the problem of inferring the
dynamical parameters of a quantum system, and discuss this algorithm in the example of …
dynamical parameters of a quantum system, and discuss this algorithm in the example of …
Robust Online Hamiltonian Learning
CE Granade, C Ferrie, N Wiebe, DG Cory - arXiv preprint arXiv:1207.1655, 2012 - arxiv.org
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
[PDF][PDF] Robust online Hamiltonian learning
CE Granade, C Ferrie, N Wiebe, DG Cory - New Journal of Physics, 2012 - microsoft.com
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Robust Online Hamiltonian Learning
CE Granade, C Ferrie, N Wiebe… - 8th Conference on the …, 2013 - drops.dagstuhl.de
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
[PDF][PDF] Robust online Hamiltonian learning
CE Granade, C Ferrie, N Wiebe… - New Journal of Physics, 2012 - researchgate.net
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
[PDF][PDF] Robust Online Hamiltonian Learning
CE Granade, C Ferrie, N Wiebe, DG Cory - 8th Conference on the …, 2013 - cs.emis.de
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
[PDF][PDF] Robust Online Hamiltonian Learning
CE Granade, C Ferrie, N Wiebe, DG Cory - dagstuhl.sunsite.rwth-aachen.de
In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …