9 citations · 13 across the 2 of their papers we have counts for
4 papers · 1 filter
Unsupervised identification of topological order using predictive models
Eliska Greplova, Agnes Valenti, Gregor Boschung +3
Machine-learning driven models have proven to be powerful tools for the identification of phases of matter. In particular, unsupervised methods hold the promise to help discover ne…
Hamiltonian Learning for Quantum Error Correction
Agnes Valenti, Evert van Nieuwenburg, Sebastian Huber +1
The efficient validation of quantum devices is critical for emerging technological applications. In a wide class of use-cases the precise engineering of a Hamiltonian is required b…
Quantum parameter estimation with a neural network
Eliska Greplova, Christian Kraglund Andersen, Klaus Mølmer
We propose to use neural networks to estimate the rates of coherent and incoherent processes in quantum systems from continuous measurement records. In particular, we adapt an imag…
Conditioned spin and charge dynamics of a single electron quantum dot
Eliska Greplova, Edward A. Laird, G. Andrew D. Briggs +1
In this article we describe the incoherent and coherent spin and charge dynamics of a single electron quantum dot. We use a stochastic master equation to model the state of the sys…