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Publications Influence

Automated tuning of double quantum dots into specific charge states using neural networks

- R. Durrer, B. Kratochwil, +5 authors Eliška Greplová
- Physics
- 5 December 2019

TLDR

11 1- PDF

Unsupervised identification of topological order using predictive models

- Eliška Greplová, Agnes Valenti, Gregor Boschung, F. Schafer, N. Lorch, Sebastián Huber
- Physics, Mathematics
- 22 October 2019

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 new phases of matter… Expand

10- PDF

Correlation functions and conditioned quantum dynamics in photodetection theory

- Q. Xu, Eliška Greplová, Brian Julsgaard, K. Mølmer
- Physics
- 29 June 2015

Correlations in photodetection signals from quantum light sources are conventionally calculated by application of the source master equation and the quantum regression theorem. In this article we… Expand

18- PDF

Hamiltonian Learning for Quantum Error Correction

- Agnes Valenti, E. V. Nieuwenburg, Sebastian Huber, Eliška Greplová
- Computer Science, Physics
- 4 July 2019

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14- PDF

Quantum parameter estimation with a neural network

- Eliška Greplová, C. K. Andersen, K. Mølmer
- Mathematics, Physics
- 14 November 2017

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 image recognition… Expand

10- PDF

Degradability of Fermionic Gaussian Channels.

- Eliška Greplová, G. Giedke
- Physics, Medicine
- Physical review letters
- 7 April 2016

We study the degradability of fermionic Gaussian channels. Fermionic quantum channels are a central building block of quantum information processing with fermions, and the family of Gaussian… Expand

5- PDF

Fully automated identification of 2D material samples.

- Eliška Greplová, C. Gold, +7 authors Sebastián Huber
- Physics
- 31 October 2019

Thin nanomaterials are key constituents of modern quantum technologies and materials research. Identifying specimens of these materials with properties required for the development of state of the… Expand

2

Let's take this discussion online

- A. Akhmerov, X. Bonet-Monroig, +4 authors D. Varjas
- Political Science
- 1 May 2020

With the lockdowns caused by the COVID-19 pandemic, researchers turn to online conferencing. While posing new challenges, this format also brings multiple advantages. We argue that virtual… Expand

Introduction to Machine Learning for the Sciences

- T. Neupert, M. Fischer, Eliška Greplová, K. Choo, M. Denner
- Computer Science, Physics
- ArXiv
- 8 February 2021

TLDR